Search results for Convolutional Neural Network
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Inside The Machine Learning that Google Used to Build Meena: A Chatbot that Can Chat About Anything
Meena is one of the major milestones in the history of NLU. How did Google build it?https://www.kdnuggets.com/2020/02/inside-machine-learning-google-build-meena-chatbot.html
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Amazon Gets Into the AutoML Race with AutoGluon: Some AutoML Architectures You Should Know About
Amazon, Microsoft, Salesforce, Waymo have produced some of the most innovative AutoML architectures in the market.https://www.kdnuggets.com/2020/01/amazon-automl-autogluon-architectures-know-about.html
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10 Best and Free Machine Learning Courses, Online
Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.https://www.kdnuggets.com/2019/12/best-free-machine-learning-courses-online.html
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Scalable graph machine learning: a mountain we can climb?
Graph machine learning is a developing area of research that brings many complexities. One challenge that both fascinates and infuriates those working with graph algorithms is — scalability. We take a close look at scalability for graph machine learning methods covering what it is, what makes it difficult, and an example of a method that tackles it head-on.https://www.kdnuggets.com/2019/12/scalable-graph-machine-learning.html
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The 4 Hottest Trends in Data Science for 2020">The 4 Hottest Trends in Data Science for 2020
The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.https://www.kdnuggets.com/2019/12/4-hottest-trends-data-science-2020.html
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Google Open Sources MobileNetV3 with New Ideas to Improve Mobile Computer Vision Models
The latest release of MobileNets incorporates AutoML and other novel ideas in mobile deep learning.https://www.kdnuggets.com/2019/12/google-open-sources-mobilenetv3-improve-mobile-computer-vision-models.html
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Transfer Learning Made Easy: Coding a Powerful Technique
While the revolution of deep learning now impacts our daily lives, these networks are expensive. Approaches in transfer learning promise to ease this burden by enabling the re-use of trained models -- and this hands-on tutorial will walk you through a transfer learning technique you can run on your laptop.https://www.kdnuggets.com/2019/11/transfer-learning-coding.html
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Activation maps for deep learning models in a few lines of code">Activation maps for deep learning models in a few lines of code
We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.https://www.kdnuggets.com/2019/10/activation-maps-deep-learning-models-lines-code.html
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Introducing IceCAPS: Microsoft’s Framework for Advanced Conversation Modeling
The new open source framework that brings multi-task learning to conversational agents.https://www.kdnuggets.com/2019/09/introducing-icecaps-microsofts-framework-advanced-conversation-modeling.html
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My journey path from a Software Engineer to BI Specialist to a Data Scientist">My journey path from a Software Engineer to BI Specialist to a Data Scientist
The career path of the Data Scientist remains a hot target for many with its continuing high demand. Becoming one requires developing a broad set of skills including statistics, programming, and even business acumen. Learn more about one person's experience making this journey, and discover the many resources available to help you find your way into a world of data science.https://www.kdnuggets.com/2019/09/journey-software-engineer-bi-data-scientist.html
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A 2019 Guide to Speech Synthesis with Deep Learning
In this article, we’ll look at research and model architectures that have been written and developed to do just that using deep learning.https://www.kdnuggets.com/2019/09/2019-guide-speech-synthesis-deep-learning.html
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How a simple mix of object-oriented programming can sharpen your deep learning prototype
By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.https://www.kdnuggets.com/2019/08/simple-mix-object-oriented-programming-sharpen-deep-learning-prototype.html
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Seven Key Dimensions to Help You Understand Artificial Intelligence Environments
Understanding an AI environment is an incredibly complex task but there are several key dimensions that provide clarity on that reasoning.https://www.kdnuggets.com/2019/07/seven-key-dimensions-understand-artificial-intelligence-environments.html
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Understanding Backpropagation as Applied to LSTM
Backpropagation is one of those topics that seem to confuse many once you move past feed-forward neural networks and progress to convolutional and recurrent neural networks. This article gives you and overall process to understanding back propagation by giving you the underlying principles of backpropagation.https://www.kdnuggets.com/2019/05/understanding-backpropagation-applied-lstm.html
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Distributed Artificial Intelligence: A primer on Multi-Agent Systems, Agent-Based Modeling, and Swarm Intelligence
Distributed Artificial Intelligence (DAI) is a class of technologies and methods that span from swarm intelligence to multi-agent technologies. It is one of the subsets of AI where simulation has greater importance that point-prediction.https://www.kdnuggets.com/2019/04/distributed-artificial-intelligence-multi-agent-systems-agent-based-modeling-swarm-intelligence.html
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Supervised Learning: Model Popularity from Past to Present
An extensive look at the history of machine learning models, using historical data from the number of publications of each type to attempt to answer the question: what is the most popular model?https://www.kdnuggets.com/2018/12/supervised-learning-model-popularity-from-past-present.html
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Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools
We cover a variety of topics, from machine learning to deep learning, from data visualization to data tools, with comments and explanations from experts in the relevant fields.https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html
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Deep Learning for the Masses (… and The Semantic Layer)
Deep learning is everywhere right now, in your watch, in your television, your phone, and in someway the platform you are using to read this article. Here I’ll talk about how can you start changing your business using Deep Learning in a very simple way. But first, you need to know about the Semantic Layer.https://www.kdnuggets.com/2018/11/deep-learning-masses-semantic-layer.html
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How to Engineer Your Way Out of Slow Models
We describe how we handle performance issues with our deep learning models, including how to find subgraphs that take a lot of calculation time and how to extract these into a caching mechanism.https://www.kdnuggets.com/2018/11/engineer-slow-models.html
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Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices
LSTMs are very powerful in sequence prediction problems because they’re able to store past information. This is important in our case because the previous price of a stock is crucial in predicting its future price.https://www.kdnuggets.com/2018/11/keras-long-short-term-memory-lstm-model-predict-stock-prices.html
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Basic Image Data Analysis Using Python – Part 3
Accessing the internal component of digital images using Python packages becomes more convenient to help understand its properties, as well as nature.https://www.kdnuggets.com/2018/09/image-data-analysis-python-p3.html
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Power Laws in Deep Learning
In pretrained, production quality DNNs, the weight matrices for the Fully Connected (FC ) layers display Fat Tailed Power Law behavior.https://www.kdnuggets.com/2018/09/power-laws-deep-learning.html
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Taming LSTMs: Variable-sized mini-batches and why PyTorch is good for your health
After reading this, you’ll be back to fantasies of you + PyTorch eloping into the sunset while your Recurrent Networks achieve new accuracies you’ve only read about on Arxiv.https://www.kdnuggets.com/2018/06/taming-lstms-variable-sized-mini-batches-pytorch.html
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Semantic Segmentation Models for Autonomous Vehicles
State-of-the-art Semantic Segmentation models need to be tuned for efficient memory consumption and fps output to be used in time-sensitive domains like autonomous vehicles.https://www.kdnuggets.com/2018/03/semantic-segmentation-models-autonomous-vehicles.html
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5 Things You Need To Know About Data Science
Here are 5 useful things to know about Data Science, including its relationship to BI, Data Mining, Predictive Analytics, and Machine Learning; Data Scientist job prospects; where to learn Data Science; and which algorithms/methods are used by Data Scientistshttps://www.kdnuggets.com/2018/02/5-things-about-data-science.html
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Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018">Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018
As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Machine Learning and AI experts as to the most important developments of 2017 and their 2018 key trend predictions.https://www.kdnuggets.com/2017/12/machine-learning-ai-main-developments-2017-key-trends-2018.html
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Machine Learning Algorithms: Which One to Choose for Your Problem">Machine Learning Algorithms: Which One to Choose for Your Problem
This article will try to explain basic concepts and give some intuition of using different kinds of machine learning algorithms in different tasks. At the end of the article, you’ll find the structured overview of the main features of described algorithms.https://www.kdnuggets.com/2017/11/machine-learning-algorithms-choose-your-problem.html
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PyTorch or TensorFlow?
PyTorch is better for rapid prototyping in research, for hobbyists and for small scale projects. TensorFlow is better for large-scale deployments, especially when cross-platform and embedded deployment is a consideration.https://www.kdnuggets.com/2017/08/pytorch-tensorflow.html
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6 areas of AI and Machine Learning to watch closely">6 areas of AI and Machine Learning to watch closely
Artificial Intelligence is a generic term and many fields of science overlaps when comes to make an AI application. Here is an explanation of AI and its 6 major areas to be focused, going forward.https://www.kdnuggets.com/2017/01/6-areas-ai-machine-learning.html
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Top Machine Learning Projects for Julia
Julia is gaining traction as a legitimate alternative programming language for analytics tasks. Learn more about these 5 machine learning related projects.https://www.kdnuggets.com/2016/08/top-machine-learning-projects-julia.html
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Contest Winner: Winning the AutoML Challenge with Auto-sklearn
This post is the first place prize recipient in the recent KDnuggets blog contest. Auto-sklearn is an open-source Python tool that automatically determines effective machine learning pipelines for classification and regression datasets. It is built around the successful scikit-learn library and won the recent AutoML challenge.https://www.kdnuggets.com/2016/08/winning-automl-challenge-auto-sklearn.html
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Yann LeCun Quora Session Overview
Here is a quick oversight, with excerpts, of the Yann LeCun Quora Session which took place on Thursday July 28, 2016.https://www.kdnuggets.com/2016/08/yann-lecun-quora-session.html
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MNIST Generative Adversarial Model in Keras
This post discusses and demonstrates the implementation of a generative adversarial network in Keras, using the MNIST dataset.https://www.kdnuggets.com/2016/07/mnist-generative-adversarial-model-keras.html
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5 Deep Learning Projects You Can No Longer Overlook
There are a number of "mainstream" deep learning projects out there, but many more niche projects flying under the radar. Have a look at 5 such projects worth checking out.https://www.kdnuggets.com/2016/07/five-deep-learning-projects-cant-overlook.html
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New Deep Learning Book Finished, Finalized Online Version Available
What will likely become known as the seminal book on deep learning is finally finished, with the online version finalized and freely-accessible to all those interested in mastering deep neural networks.https://www.kdnuggets.com/2016/04/deep-learning-book-finished.html
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Google Launches Deep Learning with TensorFlow MOOC
Google and Udacity have partnered for a new self-paced course on deep learning and TensorFlow, starting immediately.https://www.kdnuggets.com/2016/01/google-deep-learning-tensorflow-course.html
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Top 10 Deep Learning Projects on Github
The top 10 deep learning projects on Github include a number of libraries, frameworks, and education resources. Have a look at the tools others are using, and the resources they are learning from.https://www.kdnuggets.com/2016/01/top-10-deep-learning-github.html
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A Statistical View of Deep Learning
A statistical overview of deep learning, with a focus on testing wide-held beliefs, highlighting statistical connections, and the unseen implications of deep learning. The post links to 6 articles covering a number of related topics.https://www.kdnuggets.com/2015/11/statistical-view-deep-learning.html
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Deep Learning for Text Understanding from Scratch
Forget about the meaning of words, forget about grammar, forget about syntax, forget even the very concept of a word. Now let the machine learn everything by itself.https://www.kdnuggets.com/2015/03/deep-learning-text-understanding-from-scratch.html
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Deep Learning in a Nutshell – what it is, how it works, why care?
Deep learning and neural networks are increasingly important concepts in computer science with great strides being made by large companies like Google and startups like DeepMind.https://www.kdnuggets.com/2015/01/deep-learning-explanation-what-how-why.html
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KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab
We discuss what enabled Deep Learning to achieve remarkable successes recently, his argument with Vapnik about (deep) neural nets vs kernel (support vector) machines, and what kind of AI can we expect from Facebook.https://www.kdnuggets.com/2014/02/exclusive-yann-lecun-deep-learning-facebook-ai-lab.html
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Deep Learning Wins Dogs vs Cats competition on Kaggle
A Deep learning expert wins Kaggle Dogs vs Cats image competition with an almost perfect result.https://www.kdnuggets.com/2014/02/deep-learning-wins-dogs-vs-cats-competition.html