Search results for Convolutional Neural Network
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How to solve 90% of NLP problems: a step-by-step guide">How to solve 90% of NLP problems: a step-by-step guide
Read this insightful, step-by-step article on how to use machine learning to understand and leverage text.https://www.kdnuggets.com/2019/01/solve-90-nlp-problems-step-by-step-guide.html
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Top 10 Books on NLP and Text Analysis">Top 10 Books on NLP and Text Analysis
When it comes to choosing the right book, you become immediately overwhelmed with the abundance of possibilities. In this review, we have collected our Top 10 NLP and Text Analysis Books of all time, ranging from beginners to experts.https://www.kdnuggets.com/2019/01/top-10-books-nlp-text-analysis.html
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NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing">NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing
Trying to keep up with advancements at the overlap of neural networks and natural language processing can be troublesome. That's where the today's spotlighted resource comes in.https://www.kdnuggets.com/2019/01/nlp-overview-modern-deep-learning-techniques.html
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Feature Engineering for Machine Learning: 10 Examples
A brief introduction to feature engineering, covering coordinate transformation, continuous data, categorical features, missing values, normalization, and more.https://www.kdnuggets.com/2018/12/feature-engineering-explained.html
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Solve any Image Classification Problem Quickly and Easily
This article teaches you how to use transfer learning to solve image classification problems. A practical example using Keras and its pre-trained models is given for demonstration purposes.https://www.kdnuggets.com/2018/12/solve-image-classification-problem-quickly-easily.html
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Deep Learning Cheat Sheets">Deep Learning Cheat Sheets
Check out this collection of high-quality deep learning cheat sheets, filled with valuable, concise information on a variety of neural network-related topics.https://www.kdnuggets.com/2018/11/deep-learning-cheat-sheets.html
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An Introduction to AI">An Introduction to AI
We provide an introduction to AI key terminologies and methodologies, covering both Machine Learning and Deep Learning, with an extensive list including Narrow AI, Super Intelligence, Classic Artificial Intelligence, and more.https://www.kdnuggets.com/2018/11/an-introduction-ai.html
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Introduction to PyTorch for Deep Learning
In this tutorial, you’ll get an introduction to deep learning using the PyTorch framework, and by its conclusion, you’ll be comfortable applying it to your deep learning models.https://www.kdnuggets.com/2018/11/introduction-pytorch-deep-learning.html
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Mastering the Learning Rate to Speed Up Deep Learning
Figuring out the optimal set of hyperparameters can be one of the most time consuming portions of creating a machine learning model, and that’s particularly true in deep learning.https://www.kdnuggets.com/2018/11/mastering-learning-rate-speed-up-deep-learning.html
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Top 13 Python Deep Learning Libraries">Top 13 Python Deep Learning Libraries
Part 2 of a new series investigating the top Python Libraries across Machine Learning, AI, Deep Learning and Data Science.https://www.kdnuggets.com/2018/11/top-python-deep-learning-libraries.html
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Introduction to Deep Learning with Keras
In this article, we’ll build a simple neural network using Keras. Now let’s proceed to solve a real business problem: an insurance company wants you to develop a model to help them predict which claims look fraudulent.https://www.kdnuggets.com/2018/10/introduction-deep-learning-keras.html
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The Main Approaches to Natural Language Processing Tasks">The Main Approaches to Natural Language Processing Tasks
Let's have a look at the main approaches to NLP tasks that we have at our disposal. We will then have a look at the concrete NLP tasks we can tackle with said approaches.https://www.kdnuggets.com/2018/10/main-approaches-natural-language-processing-tasks.html
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Preprocessing for Deep Learning: From covariance matrix to image whitening
The goal of this post/notebook is to go from the basics of data preprocessing to modern techniques used in deep learning. My point is that we can use code (Python/Numpy etc.) to better understand abstract mathematical notions!https://www.kdnuggets.com/2018/10/preprocessing-deep-learning-covariance-matrix-image-whitening.html
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More Effective Transfer Learning for NLP
Until recently, the natural language processing community was lacking its ImageNet equivalent — a standardized dataset and training objective to use for training base models.https://www.kdnuggets.com/2018/10/more-effective-transfer-learning-nlp.html
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Introduction to Deep Learning
I decided to begin to put some structure in my understanding of Neural Networks through this series of articles.https://www.kdnuggets.com/2018/09/introduction-deep-learning.html
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Free resources to learn Natural Language Processing
An extensive list of free resources to help you learn Natural Language Processing, including explanations on Text Classification, Sequence Labeling, Machine Translation and more.https://www.kdnuggets.com/2018/09/free-resources-natural-language-processing.html
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Object Detection and Image Classification with YOLO
We explain object detection, how YOLO algorithm can help with image classification, and introduce the open source neural network framework Darknet.https://www.kdnuggets.com/2018/09/object-detection-image-classification-yolo.html
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Deep Learning for NLP: An Overview of Recent Trends">Deep Learning for NLP: An Overview of Recent Trends
A new paper discusses some of the recent trends in deep learning based natural language processing (NLP) systems and applications. The focus is on the review and comparison of models and methods that have achieved state-of-the-art (SOTA) results on various NLP tasks and some of the current best practices for applying deep learning in NLP.https://www.kdnuggets.com/2018/09/deep-learning-nlp-overview-recent-trends.html
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UX Design Guide for Data Scientists and AI Products
Realizing that there is a legitimate knowledge gap between UX Designers and Data Scientists, I have decided to attempt addressing the needs from the Data Scientist’s perspective.https://www.kdnuggets.com/2018/08/ux-design-guide-data-scientists-ai-products.html
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Only Numpy: Implementing GANs and Adam Optimizer using Numpy">Only Numpy: Implementing GANs and Adam Optimizer using Numpy
This post is an implementation of GANs and the Adam optimizer using only Python and Numpy, with minimal focus on the underlying maths involved.https://www.kdnuggets.com/2018/08/only-numpy-implementing-gans-adam-optimizer.html
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Intuitive Ensemble Learning Guide with Gradient Boosting
This tutorial discusses the importance of ensemble learning with gradient boosting as a study case.https://www.kdnuggets.com/2018/07/intuitive-ensemble-learning-guide-gradient-boosting.html
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Genetic Algorithm Implementation in Python">Genetic Algorithm Implementation in Python
This tutorial will implement the genetic algorithm optimization technique in Python based on a simple example in which we are trying to maximize the output of an equation.https://www.kdnuggets.com/2018/07/genetic-algorithm-implementation-python.html
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Text Classification & Embeddings Visualization Using LSTMs, CNNs, and Pre-trained Word Vectors
In this tutorial, I classify Yelp round-10 review datasets. After processing the review comments, I trained three model in three different ways and obtained three word embeddings.https://www.kdnuggets.com/2018/07/text-classification-lstm-cnn-pre-trained-word-vectors.html
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Packaging and Distributing Your Python Project to PyPI for Installation Using pip
This tutorial will explain the steps required to package your Python projects, distribute them in distribution formats using steptools, upload them into the Python Package Index (PyPI) repository using twine, and finally installation using Python installers such as pip and conda.https://www.kdnuggets.com/2018/06/packaging-distributing-python-project-pypi-pip.html
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DIY Deep Learning Projects">DIY Deep Learning Projects
Inspired by the great work of Akshay Bahadur in this article you will see some projects applying Computer Vision and Deep Learning, with implementations and details so you can reproduce them on your computer.https://www.kdnuggets.com/2018/06/diy-deep-learning-projects.html
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How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch: Part 1">How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch: Part 1
The best way to go about learning object detection is to implement the algorithms by yourself, from scratch. This is exactly what we'll do in this tutorial.https://www.kdnuggets.com/2018/05/implement-yolo-v3-object-detector-pytorch-part-1.html
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Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API">Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API
In this tutorial, a CNN is to be built, and trained and tested against the CIFAR10 dataset. To make the model remotely accessible, a Flask Web application is created using Python to receive an uploaded image and return its classification label using HTTP.https://www.kdnuggets.com/2018/05/complete-guide-convnet-tensorflow-flask-restful-python-api.html
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Deep learning scaling is predictable, empirically
This study starts with a simple question: “how can we improve the state of the art in deep learning?”https://www.kdnuggets.com/2018/05/deep-learning-scaling-predictable-empirically.html
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Data Augmentation: How to use Deep Learning when you have Limited Data
This article is a comprehensive review of Data Augmentation techniques for Deep Learning, specific to images.https://www.kdnuggets.com/2018/05/data-augmentation-deep-learning-limited-data.html
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Ten Machine Learning Algorithms You Should Know to Become a Data Scientist">Ten Machine Learning Algorithms You Should Know to Become a Data Scientist
It's important for data scientists to have a broad range of knowledge, keeping themselves updated with the latest trends. With that being said, we take a look at the top 10 machine learning algorithms every data scientist should know.https://www.kdnuggets.com/2018/04/10-machine-learning-algorithms-data-scientist.html
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Top 20 Deep Learning Papers, 2018 Edition">Top 20 Deep Learning Papers, 2018 Edition
Deep Learning is constantly evolving at a fast pace. New techniques, tools and implementations are changing the field of Machine Learning and bringing excellent results.https://www.kdnuggets.com/2018/03/top-20-deep-learning-papers-2018.html
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A “Weird” Introduction to Deep Learning">A “Weird” Introduction to Deep Learning
There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.https://www.kdnuggets.com/2018/03/weird-introduction-deep-learning.html
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Multiscale Methods and Machine Learning
We highlight recent developments in machine learning and Deep Learning related to multiscale methods, which analyze data at a variety of scales to capture a wider range of relevant features. We give a general overview of multiscale methods, examine recent successes, and compare with similar approaches.https://www.kdnuggets.com/2018/03/multiscale-methods-machine-learning.html
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Resurgence of AI During 1983-2010
We discuss supervised learning, unsupervised learning and reinforcement learning, neural networks, and 6 reasons that helped AI Research and Development to move ahead.https://www.kdnuggets.com/2018/02/resurgence-ai-1983-2010.html
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Deep Learning in H2O using R
This article is about implementing Deep Learning (DL) using the H2O package in R. We start with a background on DL, followed by some features of H2O's DL framework, followed by an implementation using R.https://www.kdnuggets.com/2018/01/deep-learning-h2o-using-r.html
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Visual Aesthetics: Judging photo quality using AI techniques
We built a deep learning system that can automatically analyze and score an image for aesthetic quality with high accuracy. Check the demo and see your photo measures up!https://www.kdnuggets.com/2018/01/visual-aesthetics-photo-quality-ai.html
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The 10 Deep Learning Methods AI Practitioners Need to Apply
Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.https://www.kdnuggets.com/2017/12/10-deep-learning-methods-ai-practitioners-need-apply.html
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Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018">Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018
The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.https://www.kdnuggets.com/2017/12/data-science-machine-learning-main-developments-trends.html
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Using Deep Learning to Solve Real World Problems">Using Deep Learning to Solve Real World Problems
Do you assume that deep learning is only being used for toy problems and in self-learning scenarios? This post includes several firsthand accounts of organizations using deep neural networks to solve real world problems.https://www.kdnuggets.com/2017/12/using-deep-learning-solve-real-world-problems.html
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Top 10 Videos on Deep Learning in Python">Top 10 Videos on Deep Learning in Python
Playlists, individual tutorials (not part of a playlist) and online courses on Deep Learning (DL) in Python using the Keras, Theano, TensorFlow and PyTorch libraries. Assumes no prior knowledge. These videos cover all skill levels and time constraints!https://www.kdnuggets.com/2017/11/top-10-videos-deep-learning-python.html
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Want to know how Deep Learning works? Here’s a quick guide for everyone">Want to know how Deep Learning works? Here’s a quick guide for everyone
Once you’ve read this article, you will understand the basics of AI and ML. More importantly, you will understand how Deep Learning, the most popular type of ML, works.https://www.kdnuggets.com/2017/11/deep-learning-works-quick-guide-everyone.html
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7 Steps to Mastering Deep Learning with Keras">7 Steps to Mastering Deep Learning with Keras
Are you interested in learning how to use Keras? Do you already have an understanding of how neural networks work? Check out this lean, fat-free 7 step plan for going from Keras newbie to master of its basics as quickly as is possible.https://www.kdnuggets.com/2017/10/seven-steps-deep-learning-keras.html
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Ranking Popular Deep Learning Libraries for Data Science">Ranking Popular Deep Learning Libraries for Data Science
We rank 23 open-source deep learning libraries that are useful for Data Science. The ranking is based on equally weighing its three components: Github and Stack Overflow activity, as well as Google search results.https://www.kdnuggets.com/2017/10/ranking-popular-deep-learning-libraries-data-science.html
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Understanding Machine Learning Algorithms">Understanding Machine Learning Algorithms
Machine learning algorithms aren’t difficult to grasp if you understand the basic concepts. Here, a SAS data scientist describes the foundations for some of today’s popular algorithms.https://www.kdnuggets.com/2017/10/understanding-machine-learning-algorithms.html
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Detecting Facial Features Using Deep Learning
A challenging task in the past was detection of faces and their features like eyes, nose, mouth and even deriving emotions from their shapes. This task can be now “magically” solved by deep learning and any talented teenager can do it in a few hours.https://www.kdnuggets.com/2017/09/detecting-facial-features-deep-learning.html
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Using AI to Super Compress Images
Neural Network algorithms are showing promising results for different complex problems. Here we discuss how these algorithms are used in image compression.https://www.kdnuggets.com/2017/08/ai-compress-images.html
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First Steps of Learning Deep Learning: Image Classification in Keras
Whether you want to start learning deep learning for you career, to have a nice adventure (e.g. with detecting huggable objects) or to get insight into machines before they take over, this post is for you!https://www.kdnuggets.com/2017/08/first-steps-learning-deep-learning-image-classification-keras.html
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5 Free Resources for Getting Started with Deep Learning for Natural Language Processing">5 Free Resources for Getting Started with Deep Learning for Natural Language Processing
This is a collection of 5 deep learning for natural language processing resources for the uninitiated, intended to open eyes to what is possible and to the current state of the art at the intersection of NLP and deep learning. It should also provide some idea of where to go next.https://www.kdnuggets.com/2017/07/5-free-resources-getting-started-deep-learning-nlp.html
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What Are Artificial Intelligence, Machine Learning, and Deep Learning?">What Are Artificial Intelligence, Machine Learning, and Deep Learning?
AI and Machine Learning have become mainstream, and people know shockingly little about it. Here is an explainer and useful references.https://www.kdnuggets.com/2017/07/rapidminer-ai-machine-learning-deep-learning.html
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Deep Learning with R + Keras
Keras has grown in popularity and supported on a wide set of platforms including Tensorflow, CNTK, Apple’s CoreML, and Theano. It is becoming the de factor language for deep learning.https://www.kdnuggets.com/2017/06/deep-learning-r-keras.html
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Deep Learning Papers Reading Roadmap">Deep Learning Papers Reading Roadmap
The roadmap is constructed in accordance with the following four guidelines: from outline to detail; from old to state-of-the-art; from generic to specific areas; focus on state-of-the-art.https://www.kdnuggets.com/2017/06/deep-learning-papers-reading-roadmap.html
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The Path To Learning Artificial Intelligence
Learn how to easily build real-world AI for booming tech, business, pioneering careers and game-level fun.https://www.kdnuggets.com/2017/05/path-learning-artificial-intelligence.html
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Deep Learning in Minutes with this Pre-configured Python VM Image">Deep Learning in Minutes with this Pre-configured Python VM Image
Check out this Python deep learning virtual machine image, built on top of Ubuntu, which includes a number of machine learning tools and libraries, along with several projects to get up and running with right away.https://www.kdnuggets.com/2017/05/deep-learning-pre-configured-python-vm-image.html
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The Guerrilla Guide to Machine Learning with Python">The Guerrilla Guide to Machine Learning with Python
Here is a bare bones take on learning machine learning with Python, a complete course for the quick study hacker with no time (or patience) to spare.https://www.kdnuggets.com/2017/05/guerrilla-guide-machine-learning-python.html
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Awesome Deep Learning: Most Cited Deep Learning Papers">Awesome Deep Learning: Most Cited Deep Learning Papers
This post introduces a curated list of the most cited deep learning papers (since 2012), provides the inclusion criteria, shares a few entry examples, and points to the full listing for those interested in investigating further.https://www.kdnuggets.com/2017/04/awesome-deep-learning-most-cited-papers.html
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A Brief History of Artificial Intelligence">A Brief History of Artificial Intelligence
This post is a brief outline of what happened in artificial intelligence in the last 60 years. A great place to start or brush up on your history.
https://www.kdnuggets.com/2017/04/brief-history-artificial-intelligence.html
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Top 20 Recent Research Papers on Machine Learning and Deep Learning">Top 20 Recent Research Papers on Machine Learning and Deep Learning
Machine learning and Deep Learning research advances are transforming our technology. Here are the 20 most important (most-cited) scientific papers that have been published since 2014, starting with "Dropout: a simple way to prevent neural networks from overfitting".https://www.kdnuggets.com/2017/04/top-20-papers-machine-learning.html
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Getting Started with Deep Learning
This post approaches getting started with deep learning from a framework perspective. Gain a quick overview and comparison of available tools for implementing neural networks to help choose what's right for you.https://www.kdnuggets.com/2017/03/getting-started-deep-learning.html
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7 More Steps to Mastering Machine Learning With Python">7 More Steps to Mastering Machine Learning With Python
This post is a follow-up to last year's introductory Python machine learning post, which includes a series of tutorials for extending your knowledge beyond the original.
https://www.kdnuggets.com/2017/03/seven-more-steps-machine-learning-python.html
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Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017">Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017
As 2016 comes to a close and we prepare for a new year, check out the final instalment in our "Main Developments in 2016 and Key Trends in 2017" series, where experts weigh in with their opinions.https://www.kdnuggets.com/2016/12/machine-learning-artificial-intelligence-main-developments-2016-key-trends-2017.html
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ResNets, HighwayNets, and DenseNets, Oh My!
This post walks through the logic behind three recent deep learning architectures: ResNet, HighwayNet, and DenseNet. Each make it more possible to successfully trainable deep networks by overcoming the limitations of traditional network design.https://www.kdnuggets.com/2016/12/resnets-highwaynets-densenets-oh-my.html
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Deep Learning Research Review: Reinforcement Learning
This edition of Deep Learning Research Review explains recent research papers in Reinforcement Learning (RL). If you don't have the time to read the top papers yourself, or need an overview of RL in general, this post has you covered.https://www.kdnuggets.com/2016/11/deep-learning-research-review-reinforcement-learning.html
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Introduction to Trainspotting: Computer Vision, Caltrain, and Predictive Analytics
We previously analyzed delays using Caltrain’s real-time API to improve arrival predictions, and we have modeled the sounds of passing trains to tell them apart. In this post we’ll start looking at the nuts and bolts of making our Caltrain work possible.https://www.kdnuggets.com/2016/11/introduction-trainspotting.html
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MLDB: The Machine Learning Database
MLDB is an opensource database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.https://www.kdnuggets.com/2016/10/mldb-machine-learning-database.html
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Deep Learning Reading Group: SqueezeNet
This paper introduces a small CNN architecture called “SqueezeNet” that achieves AlexNet-level accuracy on ImageNet with 50x fewer parameters.https://www.kdnuggets.com/2016/09/deep-learning-reading-group-squeezenet.html
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Data Science Basics: 3 Insights for Beginners
For data science beginners, 3 elementary issues are given overview treatment: supervised vs. unsupervised learning, decision tree pruning, and training vs. testing datasets.https://www.kdnuggets.com/2016/09/data-science-basics-3-insights-beginners.html
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9 Key Deep Learning Papers, Explained">9 Key Deep Learning Papers, Explained
If you are interested in understanding the current state of deep learning, this post outlines and thoroughly summarizes 9 of the most influential contemporary papers in the field.https://www.kdnuggets.com/2016/09/9-key-deep-learning-papers-explained.html
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7 Steps to Understanding Computer Vision
A starting point for Computer Vision and how to get going deeper. Dive into this post for some overview of the right resources and a little bit of advice.https://www.kdnuggets.com/2016/08/seven-steps-understanding-computer-vision.html
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Reinforcement Learning and the Internet of Things
Gain an understanding of how reinforcement learning can be employed in the Internet of Things world.https://www.kdnuggets.com/2016/08/reinforcement-learning-internet-things.html
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In Deep Learning, Architecture Engineering is the New Feature Engineering
A discussion of architecture engineering in deep neural networks, and its relationship with feature engineering.https://www.kdnuggets.com/2016/07/deep-learning-architecture-engineering-feature-engineering.html
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Improving Nudity Detection and NSFW Image Recognition
This post discussed improvements made in a tricky machine learning classification problem: nude and/or NSFW, or not?https://www.kdnuggets.com/2016/06/algorithmia-improving-nudity-detection-nsfw-image-recognition.html
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Top Machine Learning Libraries for Javascript
Javascript may not be the conventional choice for machine learning, but there is no reason it cannot be used for such tasks. Here are the top libraries to facilitate machine learning in Javascript.https://www.kdnuggets.com/2016/06/top-machine-learning-libraries-javascript.html
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What is the Difference Between Deep Learning and “Regular” Machine Learning?">What is the Difference Between Deep Learning and “Regular” Machine Learning?
Another concise explanation of a machine learning concept by Sebastian Raschka. This time, Sebastian explains the difference between Deep Learning and "regular" machine learning.https://www.kdnuggets.com/2016/06/difference-between-deep-learning-regular-machine-learning.html
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Predicting Popularity of Online Content
A look at predicting what makes online content popular, with a particular focus on images, especially selfies.https://www.kdnuggets.com/2016/05/predicting-popularity-online-content.html
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Machine Learning for Artists – Video lectures and notes
Art has always been deep for those who appreciate it... but now, more than ever, deep learning is making a real impact on the art world. Check out this graduate course, and its freely-available resources, focusing on this very topic.https://www.kdnuggets.com/2016/04/machine-learning-artists-video-lectures-notes.html
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Top 15 Frameworks for Machine Learning Experts
Either you are a researcher, start-up or big organization who wants to use machine learning, you will need the right tools to make it happen. Here is a list of the most popular frameworks for machine learning.https://www.kdnuggets.com/2016/04/top-15-frameworks-machine-learning-experts.html
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Is Deep Learning Overhyped?
With all of the success that deep learning is experiencing, the detractors and cheerleaders can be seen coming out of the woodwork. What is the real validity of deep learning, and is it simply hype?https://www.kdnuggets.com/2016/01/deep-learning-overhyped.html
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Attention and Memory in Deep Learning and NLP
An overview of attention mechanisms and memory in deep neural networks and why they work, including some specific applications in natural language processing and beyond.https://www.kdnuggets.com/2016/01/attention-memory-deep-learning-nlp.html
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7 Steps to Understanding Deep Learning
There are many deep learning resources freely available online, but it can be confusing knowing where to begin. Go from vague understanding of deep neural networks to knowledgeable practitioner in 7 steps!https://www.kdnuggets.com/2016/01/seven-steps-deep-learning.html
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DeepLearningKit – Open Source Deep Learning Framework for Apple iOS, OS X
We are introducing you to the new deep learning framework “DeepLearningKit”, for the Apple based OS which is developed in Metal and Swift.https://www.kdnuggets.com/2015/12/deeplearningkit-open-source-framework-apple-ios-osx.html
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50 Deep Learning Software Tools and Platforms, Updated
We present the popular software & toolkit resources for Deep Learning, including Caffe, Cuda-convnet, Deeplearning4j, Pylearn2, Theano, and Torch. Explore the new list!https://www.kdnuggets.com/2015/12/deep-learning-tools.html
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Deep Learning Transcends the Bag of Words
Generative RNNs are now widely popular, many modeling text at the character level and typically using unsupervised approach. Here we show how to generate contextually relevant sentences and explain recent work that does it successfully.https://www.kdnuggets.com/2015/12/deep-learning-outgrows-bag-words-recurrent-neural-networks.html
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Sentiment Analysis 101
Sentiment analysis can be incredibly useful, and can help companies better answer pertinent questions and gain valuable business insights. Sentiment analysis technologies will continue to improve as they become more widely adopted. But what can sentiment analysis do for you?https://www.kdnuggets.com/2015/12/sentiment-analysis-101.html
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Deep Learning for Visual Question Answering
Here we discuss about the Visual Question Answering problem, and I’ll also present neural network based approaches for same.https://www.kdnuggets.com/2015/11/deep-learning-visual-question-answering.html
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6 crazy things Deep Learning and Topological Data Analysis can do with your data
Want to analyze a high dimensional dataset and you are running out of options? Find out how Deep Learning combined with Topological Data Analysis can do exactly that and more.https://www.kdnuggets.com/2015/11/crazy-deep-learning-topological-data-analysis.html
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Recycling Deep Learning Models with Transfer Learning
Deep learning exploits gigantic datasets to produce powerful models. But what can we do when our datasets are comparatively small? Transfer learning by fine-tuning deep nets offers a way to leverage existing datasets to perform well on new tasks.https://www.kdnuggets.com/2015/08/recycling-deep-learning-representations-transfer-ml.html
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Talking Machine – 3 Deep Learning Gurus Talk about History and Future of Machine Learning, part 1
An recent interview from the talking machine podcast with three deep learning experts. They talked about the neural network winter and its renewal.https://www.kdnuggets.com/2015/03/talking-machine-deep-learning-gurus-p1.html
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Do We Need More Training Data or More Complex Models?
Do we need more training data? Which models will suffer from performance saturation as data grows large? Do we need larger models or more complicated models, and what is the difference?https://www.kdnuggets.com/2015/03/more-training-data-or-complex-models.html
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(Deep Learning’s Deep Flaws)’s Deep Flaws
Recent press has challenged the hype surrounding deep learning, trumpeting several findings which expose shortcomings of current algorithms. However, many of deep learning's reported flaws are universal, affecting nearly all machine learning algorithms.https://www.kdnuggets.com/2015/01/deep-learning-flaws-universal-machine-learning.html
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MetaMind Competes with IBM Watson Analytics and Microsoft Azure Machine Learning
While Microsoft and IBM rush to bring data science and visualization to the masses, MetaMind follows another path, offering deep learning as a service.https://www.kdnuggets.com/2015/01/metamind-ibm-watson-analytics-microsoft-azure-machine-learning.html
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Geoffrey Hinton talks about Deep Learning, Google and Everything
A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.https://www.kdnuggets.com/2014/12/geoffrey-hinton-talks-deep-learning-google-everything.html
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Deep Learning – important resources for learning and understanding
New and fundamental resources for learning about Deep Learning - the hottest machine learning method, which is approaching human performance level.https://www.kdnuggets.com/2014/08/deep-learning-important-resources-learning-understanding.html
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Does Deep Learning Have Deep Flaws?
A recent study of neural networks found that for every correctly classified image, one can generate an "adversarial", visually indistinguishable image that will be misclassified. This suggests potential deep flaws in all neural networks, including possibly a human brain.https://www.kdnuggets.com/2014/06/deep-learning-deep-flaws.html
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Where to Learn Deep Learning – Courses, Tutorials, Software
Deep Learning is a very hot Machine Learning techniques which has been achieving remarkable results recently. We give a list of free resources for learning and using Deep Learning.https://www.kdnuggets.com/2014/05/learn-deep-learning-courses-tutorials-overviews.html
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10 GitHub Repositories to Master Machine Learning
The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job.https://www.kdnuggets.com/10-github-repositories-to-master-machine-learning
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Free Generative AI Courses by Google
With Generative AI being a hot topic, learn more about these courses provided that can give you a kick start into the wave.https://www.kdnuggets.com/2023/07/free-generative-ai-courses-google.html
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What Is ChatGPT Doing and Why Does It Work?
In this article, we will explain how ChatGPT works and why it is able to produce coherent and diverse conversations.https://www.kdnuggets.com/2023/04/chatgpt-work.html
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Top Free Data Science Online Courses for 2023
Learn Data Science in 2023 for FREE with these online courses.https://www.kdnuggets.com/2023/03/top-free-data-science-online-courses-2023.html
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15 More Free Machine Learning and Deep Learning Books
Check out this second list of 15 FREE ebooks for learning machine learning and deep learning.https://www.kdnuggets.com/2022/11/15-free-machine-learning-deep-learning-books.html
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Free Artificial Intelligence And Deep Learning Crash Course
Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.https://www.kdnuggets.com/2022/07/free-artificial-intelligence-deep-learning-crash-course.html
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Everything You Need to Know About Tensors
In this article, we will cover the basics of the tensors.https://www.kdnuggets.com/2022/05/everything-need-know-tensors.html
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Guide to Iteratively Tuning GNNs
This blog walks through a process for experimenting with hyperparameters, training algorithms and other parameters of Graph Neural Networks.https://www.kdnuggets.com/2022/04/sigopt-guide-iteratively-tuning-gnns.html
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TensorFlow for Computer Vision – Transfer Learning Made Easy
In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.https://www.kdnuggets.com/2022/01/tensorflow-computer-vision-transfer-learning-made-easy.html
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Transfer Learning for Image Recognition and Natural Language Processing
Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.https://www.kdnuggets.com/2022/01/transfer-learning-image-recognition-natural-language-processing.html
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2021: A Year Full of Amazing AI papers — A Review
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.https://www.kdnuggets.com/2021/12/2021-year-review-amazing-ai-papers.html
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How to solve machine learning problems in the real world
Becoming a machine learning engineer pro is your goal? Sure, online ML courses and Kaggle-style competitions are great resources to learn the basics. However, the daily job of a ML engineer requires an additional layer of skills that you won’t master through these approaches.https://www.kdnuggets.com/2021/09/solve-machine-learning-problems-real-world.html
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High-Performance Deep Learning: How to train smaller, faster, and better models – Part 4
With the right software, hardware, and techniques at your fingertips, your capability to effectively develop high-performing models now hinges on leveraging automation to expedite the experimental process and building with the most efficient model architectures for your data.https://www.kdnuggets.com/2021/07/high-performance-deep-learning-part4.html
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From Scratch: Permutation Feature Importance for ML Interpretability
Use permutation feature importance to discover which features in your dataset are useful for prediction — implemented from scratch in Python.https://www.kdnuggets.com/2021/06/from-scratch-permutation-feature-importance-ml-interpretability.html
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High-Performance Deep Learning: How to train smaller, faster, and better models – Part 2
As your organization begins to consider building advanced deep learning models with efficiency in mind to improve the power delivered through your solutions, the software and hardware tools required for these implementations are foundational to achieving high-performance.https://www.kdnuggets.com/2021/06/high-performance-deep-learning-part2.html
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The Essential Guide to Transformers, the Key to Modern SOTA AI
You likely know Transformers from their recent spate of success stories in natural language processing, computer vision, and other areas of artificial intelligence, but are familiar with all of the X-formers? More importantly, do you know the differences, and why you might use one over another?https://www.kdnuggets.com/2021/06/essential-guide-transformers-key-modern-sota-ai.html
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My machine learning model does not learn. What should I do?
This article presents 7 hints on how to get out of the quicksand.https://www.kdnuggets.com/2021/02/machine-learning-model-not-learn.html
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Working With The Lambda Layer in Keras
In this tutorial we'll cover how to use the Lambda layer in Keras to build, save, and load models which perform custom operations on your data.https://www.kdnuggets.com/2021/01/working-lambda-layer-keras.html
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Building a Deep Learning Based Reverse Image Search">Building a Deep Learning Based Reverse Image Search
Following the journey from unstructured data to content based image retrieval.https://www.kdnuggets.com/2021/01/deep-learning-based-reverse-image-search.html
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Unsupervised Learning for Predictive Maintenance using Auto-Encoders
This article outlines a machine learning approach to detect and diagnose anomalies in the context of machine maintenance, along with a number of introductory concepts, including: Introduction to machine maintenance; What is predictive maintenance?; Approaches for machine diagnosis; Machine diagnosis using machine learninghttps://www.kdnuggets.com/2021/01/unsupervised-learning-predictive-maintenance-auto-encoders.html
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AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021">AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021
2020 is finally coming to a close. While likely not to register as anyone's favorite year, 2020 did have some noteworthy advancements in our field, and 2021 promises some important key trends to look forward to. As has become a year-end tradition, our collection of experts have once again contributed their thoughts. Read on to find out more.https://www.kdnuggets.com/2020/12/predictions-ai-machine-learning-data-science-research.html
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Compute Goes Brrr: Revisiting Sutton’s Bitter Lesson for AI
"It's just about having more compute." Wait, is that really all there is to AI? As Richard Sutton's 'bitter lesson' sinks in for more AI researchers, a debate has stirred that considers a potentially more subtle relationship between advancements in AI based on ever-more-clever algorithms and massively scaled computational power.https://www.kdnuggets.com/2020/11/revisiting-sutton-bitter-lesson-ai.html
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The Online Courses You Must Take to be a Better Data Scientist
These select courses have proved to be precious online resources which helped make the author a better data scientist today.https://www.kdnuggets.com/2020/09/online-courses-better-data-scientist.html
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The Most Complete Guide to PyTorch for Data Scientists
All the PyTorch functionality you will ever need while doing Deep Learning. From an Experimentation/Research Perspective.https://www.kdnuggets.com/2020/09/most-complete-guide-pytorch-data-scientists.html
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Autograd: The Best Machine Learning Library You’re Not Using?">Autograd: The Best Machine Learning Library You’re Not Using?
If there is a Python library that is emblematic of the simplicity, flexibility, and utility of differentiable programming it has to be Autograd.https://www.kdnuggets.com/2020/09/autograd-best-machine-learning-library-not-using.html
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Is depth useful for self-attention?
Learn about recent research that is the first to explain a surprising phenomenon where in BERT/Transformer-like architectures, deepening the network does not seem to be better than widening (or, increasing the representation dimension). This empirical observation is in contrast to a fundamental premise in deep learning.https://www.kdnuggets.com/2020/07/depth-useful-self-attention.html
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PyTorch LSTM: Text Generation Tutorial
Key element of LSTM is the ability to work with sequences and its gating mechanism.https://www.kdnuggets.com/2020/07/pytorch-lstm-text-generation-tutorial.html
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Are Tera Operations Per Second (TOPS) Just hype? Or Dark AI Silicon in Disguise?
This article explains why TOPS isn’t as accurate a gauge as many people think, and discusses other criteria that should be considered when evaluating a solution to a real application.https://www.kdnuggets.com/2020/05/tops-just-hype-dark-ai-silicon-disguise.html
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The Best NLP with Deep Learning Course is Free">The Best NLP with Deep Learning Course is Free
Stanford's Natural Language Processing with Deep Learning is one of the most respected courses on the topic that you will find anywhere, and the course materials are freely available online.https://www.kdnuggets.com/2020/05/best-nlp-deep-learning-course-free.html
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AI and Machine Learning for Healthcare">AI and Machine Learning for Healthcare
Traditional business and technology sectors are not the only fields being impacted by AI. Healthcare is a field that is thought to be highly suitable for the applications of AI tools and techniques.https://www.kdnuggets.com/2020/05/ai-machine-learning-healthcare.html
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I Designed My Own Machine Learning and AI Degree
With so many pioneering online resources for open education, check out this organized collection of courses you can follow to become a well-rounded machine learning and AI engineer.https://www.kdnuggets.com/2020/05/designed-machine-learning-ai-degree.html
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Deep Learning: The Free eBook">Deep Learning: The Free eBook
"Deep Learning" is the quintessential book for understanding deep learning theory, and you can still read it freely online.https://www.kdnuggets.com/2020/05/deep-learning-free-ebook.html
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Fighting Coronavirus With AI: Improving Testing with Deep Learning and Computer Vision
This post will cover how testing is done for the coronavirus, why it's important in battling the pandemic, and how deep learning tools for medical imaging can help us improve the quality of COVID-19 testing.https://www.kdnuggets.com/2020/04/fighting-coronavirus-ai-improving-testing-deep-learning-computer-vision.html
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Better notebooks through CI: automatically testing documentation for graph machine learning
In this article, we’ll walk through the detailed and helpful continuous integration (CI) that supports us in keeping StellarGraph’s demos current and informative.https://www.kdnuggets.com/2020/04/better-notebooks-through-ci-automatically-testing-documentation-graph-machine-learning.html
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Generate Realistic Human Face using GAN
This article contain a brief intro to Generative Adversarial Network(GAN) and how to build a Human Face Generator.https://www.kdnuggets.com/2020/03/generate-realistic-human-face-using-gan.html
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TensorFlow 2.0 Tutorial: Optimizing Training Time Performance
Tricks to improve TensorFlow training time with tf.data pipeline optimizations, mixed precision training and multi-GPU strategies.https://www.kdnuggets.com/2020/03/tensorflow-optimizing-training-time-performance.html