Search results for deep learning

Found 5345 documents, 14040 searched:

• Top Stories, Jun 12-18: Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap

  Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap; The Practical Importance of Feature Selection; Understanding Deep Learning Requires Re-thinking Generalization; K-means Clustering with Tableau

  https://www.kdnuggets.com/2017/06/top-news-week-0612-0618.html

• Understanding Deep Learning Requires Re-thinking Generalization">Understanding Deep Learning Requires Re-thinking Generalization

  What is it that distinguishes neural networks that generalize well from those that don’t? A satisfying answer to this question would not only help to make neural networks more interpretable, but it might also lead to more principled and reliable model architecture design.

  https://www.kdnuggets.com/2017/06/understanding-deep-learning-rethinking-generalization.html

• Medical Image Analysis with Deep Learning , Part 3

  In this article we will focus — basic deep learning using Keras and Theano. We will do 2 examples one using keras for basic predictive analytics and other a simple example of image analysis using VGG.

  https://www.kdnuggets.com/2017/06/medical-image-analysis-deep-learning-part-3.html

• 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

• Deep Learning: TensorFlow Programming via XML and PMML

  In this approach, problem dataset and its Neural network are specified in a PMML like XML file. Then it is used to populate the TensorFlow graph, which, in turn run to get the results.

  https://www.kdnuggets.com/2017/06/deep-learning-tensorflow-programming-xml-pmml.html

• KDnuggets™ News 17:n22, Jun 7: 7 Steps to Mastering Data Preparation with Python; Why Does Deep Learning Not Have a Local Minimum?

  7 Steps to Mastering Data Preparation with Python; Why Does Deep Learning Not Have a Local Minimum?; 7 Techniques to Handle Imbalanced Data; Which Machine Learning Algorithm Should I Use?; Is Regression Analysis Really Machine Learning?

  https://www.kdnuggets.com/2017/n22.html

• Deep Learning 101: Demystifying Tensors">Deep Learning 101: Demystifying Tensors

  Many deep-learning systems available today are based on tensor algebra, but tensor algebra isn’t tied to deep-learning. It isn’t hard to get started with tensor abuse but can be hard to stop.

  https://www.kdnuggets.com/2017/06/deep-learning-demystifying-tensors.html

• Why Does Deep Learning Not Have a Local Minimum?

  "As I understand, the chance of having a derivative zero in each of the thousands of direction is low. Is there some other reason besides this?"

  https://www.kdnuggets.com/2017/06/deep-learning-local-minimum.html

• Data preprocessing for deep learning with nuts-ml

  Nuts-ml is a new data pre-processing library in Python for GPU-based deep learning in vision. It provides common pre-processing functions as independent, reusable units. These so called ‘nuts’ can be freely arranged to build data flows that are efficient, easy to read and modify.

  https://www.kdnuggets.com/2017/05/data-pre-processing-deep-learning-nuts-ml.html

• Top Stories, May 8-14: Annual KDnuggets Data Science Software Poll; Using Deep Learning To Extract Knowledge From Job Descriptions

  New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?; Using Deep Learning To Extract Knowledge From Job Descriptions; Deep Learning Past, Present, and Future; The Guerrilla Guide to Machine Learning with R

  https://www.kdnuggets.com/2017/05/top-news-week-0508-0514.html

• The Two Phases of Gradient Descent in Deep Learning

  In short, you reach different resting placing with different SGD algorithms. That is, different SGDs just give you differing convergence rates due to different strategies, but we do expect that they all end up at the same results!

  https://www.kdnuggets.com/2017/05/two-phases-gradient-descent-deep-learning.html

• How Deep Learning Is Changing The Finance and Retail Sectors

  Explore the latest advancements in deep learning and their applications in industry at the Deep Learning in Finance Summit and Deep Learning in Retail Summit in London, 1-2 June. Use discount code KDNUGGETS to save 20% off all tickets.

  https://www.kdnuggets.com/2017/05/rework-deep-learning-finance-retail.html

• Using Deep Learning To Extract Knowledge From Job Descriptions">Using Deep Learning To Extract Knowledge From Job Descriptions

  We present a deep learning approach to extract knowledge from a large amount of data from the recruitment space. A learning to rank approach is followed to train a convolutional neural network to generate job title and job description embeddings.

  https://www.kdnuggets.com/2017/05/deep-learning-extract-knowledge-job-descriptions.html

• Top Stories, May 1-7: How to Learn Machine Learning in 10 Days; Deep Learning – Past, Present, and Future

  How to Learn Machine Learning in 10 Days; Deep Learning – Past, Present, and Future; Keep it simple! How to understand Gradient Descent algorithm; New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?

  https://www.kdnuggets.com/2017/05/top-news-week-0501-0507.html

• 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

• AI, Deep Learning, Machine Learning–Learn It or You’ll Become a Dinosaur (O’Reilly AI, NYC, Jun 26-29)

  Learn how to implement AI in real-world projects today and explore what the future holds for intelligence engineering at O'Reilly's AI Conference, NYC, June 26-29. Save extra 20% with code PCKDNG.

  https://www.kdnuggets.com/2017/05/oreilly-ai-nyc-june.html

• Advances in AI & Deep Learning: DeepMind, Facebook & OpenAI

  RE•WORK would like to update KDnuggets readers on their upcoming European events, as discounted tickets end next week, and share their on-demand content and expert interviews! For 20% off pass prices for all RE•WORK events, use discount code KDNUGGETS.

  https://www.kdnuggets.com/2017/05/advances-ai-deep-learning-deepmind-facebook-openai.html

• Deep Learning – Past, Present, and Future">Deep Learning – Past, Present, and Future

  There is a lot of buzz around deep learning technology. First developed in the 1940s, deep learning was meant to simulate neural networks found in brains, but in the last decade 3 key developments have unleashed its potential.

  https://www.kdnuggets.com/2017/05/deep-learning-big-deal.html

• One Deep Learning Virtual Machine to Rule Them All

  The frontend code of programming languages only needs to parse and translate source code to an intermediate representation (IR). Deep Learning frameworks will eventually need their own “IR.”

  https://www.kdnuggets.com/2017/04/deep-learning-virtual-machine-rule-all.html

• KDnuggets™ News 17:n16, Apr 26: Awesome Deep Learning: Most Cited Deep Learning Papers; Data Science for the Layman

  Awesome Deep Learning: Most Cited Deep Learning Papers; Data Science for the Layman; Best Data Science Courses from Udemy; Negative Results on Negative Images: Major Flaw in Deep Learning?

  https://www.kdnuggets.com/2017/n16.html

• Top Stories, Apr 17-23: Awesome Deep Learning: Most Cited Deep Learning Papers; The Value of Exploratory Data Analysis

  Awesome Deep Learning: Most Cited Deep Learning Papers; The Value of Exploratory Data Analysis; 10 Free Must-Read Books for Machine Learning and Data Science; Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions; Data Science for the Layman

  https://www.kdnuggets.com/2017/04/top-news-week-0417-0423.html

• 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

• Negative Results on Negative Images: Major Flaw in Deep Learning?

  This is an overview of recent research outlining the limitations of the capabilities of image recognition using deep neural networks. But should this really be considered a "limitation?"

  https://www.kdnuggets.com/2017/04/negative-results-images-flaw-deep-learning.html

• Join Deep Learning leaders in Boston, May 25-26 – KDnuggets Offer

  We're gathering 400+ leading experts and healthcare professionals at the Deep Learning Summit, and Deep Learning in Healthcare Summit in Boston on May 25-26. KDnuggets subscribers get 20% off pass prices for all RE•WORK events with discount code KDNUGGETS.

  https://www.kdnuggets.com/2017/04/rework-deep-learning-leaders-boston-may.html

• More Deep Learning “Magic”: Paintings to photos, horses to zebras, and more amazing image-to-image translation

  This is an introduction to recent research which presents an approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples.

  https://www.kdnuggets.com/2017/04/unpaired-image-translation-cycle-gan.html

• Medical Image Analysis with Deep Learning , Part 2

  In this article we will talk about basics of deep learning from the lens of Convolutional Neural Nets. We plan to use this knowledge to build CNNs in the next post and use Keras to develop a model to predict lung cancer.

  https://www.kdnuggets.com/2017/04/medical-image-analysis-deep-learning-part-2.html

• Speaker Introduction for the Deep Learning Summit & Deep Learning in Healthcare Summit in Boston, 25-26 May (KDnuggets Offer)

  Explore the latest advancements in deep learning and their applications in industry and healthcare at the Deep Learning Summit and Deep Learning in Healthcare Summit in Boston, 25-26 May. Use discount code KDNUGGETS to save 20% off all tickets.

  https://www.kdnuggets.com/2017/04/rework-deep-learning-summit-healthcare-boston.html

• KDnuggets™ News 17:n14, Apr 12: Free Machine Learning & Data Science Books; Top Machine Learning & Deep Learning Papers

  10 Free Must-Read Books for Machine Learning and Data Science; Top 20 Recent Research Papers on Machine Learning and Deep Learning; New Poll: What data types you analyzed?; The 42 V's of Big Data and Data Science; A Brief History of Artificial Intelligence

  https://www.kdnuggets.com/2017/n14.html

• Top Stories, Apr 3-9: Top 20 Machine Learning & Deep Learning Research Papers; Brief History of Artificial Intelligence

  Top 20 Recent Research Papers on Machine Learning and Deep Learning; A Brief History of Artificial Intelligence; Medical Image Analysis with Deep Learning; Introduction to Anomaly Detection; The 42 V’s of Big Data and Data Science

  https://www.kdnuggets.com/2017/04/top-news-week-0403-0409.html

• ODSC East 2017: Accelerate your Deep Learning & Machine Learning Knowledge and Career Opportunities, Boston, May 3-5

  With change comes opportunity! The pace of data science innovation continues to quicken. New tools and techniques are constantly emerging especially around deep learning and machine learning. In 2017 many more companies are embarking on data science projects.

  https://www.kdnuggets.com/2017/04/odsc-east-2017-accelerate-knowledge-career.html

• Medical Image Analysis with Deep Learning 

  In this article, I start with basics of image processing, basics of medical image format data and visualize some medical data.

  https://www.kdnuggets.com/2017/03/medical-image-analysis-deep-learning.html

• 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

• Join Deep Learning Leaders in London, June 1-2 (KDnuggets Offer)

  400+ leading experts and business executives convene at the Deep Learning in Finance & Retail and Advertising Summits, London, June 1-2. KDnuggets subscribers get 20% off with code KDNUGGETS.

  https://www.kdnuggets.com/2017/03/rework-deep-learning-leaders-london-june.html

• KDnuggets™ News 17:n12, Mar 29: Getting Started with Deep Learning; Thinking Like a Data Scientist; What is Data Science?!?

  Getting Started with Deep Learning; Thinking Like a Data Scientist; What Is Data Science, and What Does a Data Scientist Do?; Key Takeaways from Strata + Hadoop World; Deep Learning, Generative Adversarial Networks  & Boxing

  https://www.kdnuggets.com/2017/n12.html

• Deep Learning, Generative Adversarial Networks  & Boxing – Toward a Fundamental Understanding

  In this post we will see why GANs have so much potential, and frame GANs as a boxing match between two opponents.

  https://www.kdnuggets.com/2017/03/deep-learning-gans-boxing-fundamental-understanding.html

• 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

• Deep Learning Summit & Deep Learning in Healthcare Summit in Boston, 25-26 May (KDnuggets Offer)

  Explore the latest advancements in deep learning and their applications in industry and healthcare at the Deep Learning Summit and Deep Learning in Healthcare Summit in Boston, 25-26 May. Use discount code KDNUGGETS to save 20% off all tickets.

  https://www.kdnuggets.com/2017/03/rework-deep-learning-summit-boston.html

• Homebrewed Deep Learning and Do-It-Yourself Robotics

  Learn how to experiment with embodied robotic cognition with IBM Project Intu, a platform that extends Deep Learning and other cognitive services to new devices with minimum coding.

  https://www.kdnuggets.com/2017/03/ibm-homebrewed-deep-learning-robotics.html

• Top Stories, Feb 27-Mar 5: 7 More Steps to Mastering Machine Learning With Python; An Overview of Python Deep Learning Frameworks

  7 More Steps to Mastering Machine Learning With Python; An Overview of Python Deep Learning Frameworks; Every Intro to Data Science Course on the Internet, Ranked; The Data Science Project Playbook; Hadoop Is Falling – Why?; Every Intro to Data Science Course on the Internet, Ranked

  https://www.kdnuggets.com/2017/03/top-news-week-0227-0305.html

• Greed, Fear, Game Theory and Deep Learning

  The most advanced kind of Deep Learning system will involve multiple neural networks that either cooperate or compete to solve problems. The core problem of a multi-agent approach is how to control its behavior.

  https://www.kdnuggets.com/2017/03/greed-fear-game-theory-deep-learning.html

• KDnuggets™ News 17:n08, Mar 1: Deep Learning Frameworks Dissected; Gartner Magic Quadrant for Data Science Platforms

  The Anatomy of Deep Learning Frameworks; Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers; Data Science vs Fake News Contest; An Overview of Python Deep Learning Frameworks; Moving from R to Python: The Libraries You Need to Know

  https://www.kdnuggets.com/2017/n08.html

• An Overview of Python Deep Learning Frameworks">An Overview of Python Deep Learning Frameworks

  Read this concise overview of leading Python deep learning frameworks, including Theano, Lasagne, Blocks, TensorFlow, Keras, MXNet, and PyTorch.

  https://www.kdnuggets.com/2017/02/python-deep-learning-frameworks-overview.html

• Top Stories, Feb 20-26: The Anatomy of Deep Learning Frameworks; Gartner 2017 Magic Quadrant for Data Science Platforms

  The Anatomy of Deep Learning Frameworks; Gartner 2017 Magic Quadrant for Data Science Platforms; 17 More Must-Know Data Science Interview Questions and Answers; The Gentlest Introduction to Tensorflow - Part 3; The Origins of Big Data

  https://www.kdnuggets.com/2017/02/top-news-week-0220-0226.html

• The Anatomy of Deep Learning Frameworks">The Anatomy of Deep Learning Frameworks

  This post sketches out some common principles which would help you better understand deep learning frameworks, and provides a guide on how to implement your own deep learning framework as well.
   

  https://www.kdnuggets.com/2017/02/anatomy-deep-learning-frameworks.html

• Deep Learning, Artificial Intuition and the Quest for AGI

  Deep Learning systems exhibit behavior that appears biological despite not being based on biological material. It so happens that humanity has luckily stumbled upon Artificial Intuition in the form of Deep Learning.

  https://www.kdnuggets.com/2017/02/deep-learning-artificial-intelligence-quest-agi.html

• Top KDnuggets tweets, Feb 08-14: 5 Free Courses for Getting Started in AI; Deep Learning for NLP at Oxford, course materials

  5 Free Courses for Getting Started in #AI; Python #DataScience tutorial: Making #Python Speak #SQL with pandasql; Course materials: #DeepLearning for Natural Language Processing at Oxford; Resources for Learning AI, courtesy of McGill #AI Society.

  https://www.kdnuggets.com/2017/02/top-tweets-feb08-14.html

• Turbo Charge Agile Processes with Deep Learning

  The key to leveraging Deep Learning, or more broadly AI, in the workplace is to understand where it fits within an agile development environment.

  https://www.kdnuggets.com/2017/02/turbo-charge-agile-processes-deep-learning.html

• Top Stories, Jan 30-Feb 5: Deep Learning Research Review: Natural Language Processing; Data Scientist – best job in America, again

  Deep Learning Research Review: Natural Language Processing; Data Scientist – best job in America, again; 5 Free Courses for Getting Started in Artificial Intelligence; Top R Packages for Machine Learning

  https://www.kdnuggets.com/2017/02/top-news-week-0130-0205.html

• 3 practical thoughts on why deep learning performs so well

  Why does Deep Learning perform better than other machine learning methods? We offer 3 reasons: integration of integration of feature extraction within the training process, collection of very large data sets, and technology development.

  https://www.kdnuggets.com/2017/02/why-deep-learning-performs-so-well.html

• Is Deep Learning the Silver Bullet?

  With nearly every every smart young computer scientist planning to work on deep learning, are there really still artificial intelligence researchers working on other techniques? Is deep learning the AI silver bullet?

  https://www.kdnuggets.com/2017/02/deep-learning-silver-bullet.html

• Deep Learning Research Review: Natural Language Processing">Deep Learning Research Review: Natural Language Processing

  This edition of Deep Learning Research Review explains recent research papers in Natural Language Processing (NLP). If you don't have the time to read the top papers yourself, or need an overview of NLP with Deep Learning, this post is for you.

  https://www.kdnuggets.com/2017/01/deep-learning-review-natural-language-processing.html

• Top Stories, Jan 16-22: Time Series Analysis: A Primer; Deep Learning Can be Applied to Natural Language Processing

  Time Series Analysis: A Primer; Deep Learning Can be Applied to Natural Language Processing; The Current State of Automated Machine Learning; Introduction to Forecasting with ARIMA in R; 90 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning

  https://www.kdnuggets.com/2017/01/top-news-week-0116-0122.html

• Deep Learning Can be Applied to Natural Language Processing">Deep Learning Can be Applied to Natural Language Processing

  This post is a rebuttal to a recent article suggesting that neural networks cannot be applied to natural language given that language is not a produced as a result of continuous function. The post delves into some additional points on deep learning as well.

  https://www.kdnuggets.com/2017/01/deep-learning-applied-natural-language-processing.html

• Exclusive: Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science, and more

  My exclusive interview with rock star Data Scientist Jeremy Howard, on his latest Deep Learning course, what is needed for success in Kaggle, how Enlitic is transforming medical diagnostics, and what Data Scientists should do to create value for their organization.

  https://www.kdnuggets.com/2017/01/exclusive-interview-jeremy-howard-deep-learning-kaggle-data-science.html

• 4 ways to learn about Deep Learning, Anomaly Detection and more Data Science topics online at Statistics.com

  Online courses at Statistics.com are small, with rich and engaging content that includes readings, videos, quizzes, homework, projects, and practical work with software. Use promo code deepkdn17 to save.

  https://www.kdnuggets.com/2017/01/statisticscom-deep-learning-anomaly-detection-data-science-online.html

• Deep Learning in Healthcare Summit in London, 28 February – 1 March (KDnuggets Offer)

  Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the healthcare sector at the Deep Learning in Healthcare Summit in London, 28 February – 1 March. Use discount code KDNUGGETS to save 20%.

  https://www.kdnuggets.com/2017/01/rework-deep-learning-healthcare-summit-london-february.html

• KDnuggets™ News 17:n01, Jan 11: 5 Machine Learning Projects You Can’t Overlook; Future of Deep Learning; Self-Driving Car Surprises

  Also Game Theory Reveals the Future of Deep Learning; Generative Adversarial Networks - Hot Topic in ML; Cartoon: When Self-Driving Cars take you too far

  https://www.kdnuggets.com/2017/n01.html

• Deep Learning Summit in San Francisco, Jan 26-27 (KDnuggets Offer)

  Discover advances in Deep Learning, NLP, speech recognition, image retrieval, virtual assistants, and more from leading researchers and industry at the Deep Learning Summit and Virtual Assistant Summit in San Francisco, 26-27 January. Use code KDNUGGETS to save 20%.

  https://www.kdnuggets.com/2017/01/rework-deep-learning-summit-san-francisco-january.html

• The Major Advancements in Deep Learning in 2016

  Get a concise overview of the major advancements observed in deep learning over the past year.

  https://www.kdnuggets.com/2017/01/major-advancements-deep-learning-2016.html

• Top /r/MachineLearning Posts, December: OpenAI Universe; Deep Learning MOOC For Coders; Musk: Tesla Gets Awesome-er

  OpenAI Universe; Deep Learning For Coders—18 hours of lessons for free; Elon Musk on Twitter: Tesla Autopilot vision neural net now working well; Apple to Start Publishing AI Research; Duolingo's "half-life regression" method for modeling human memory

  https://www.kdnuggets.com/2017/01/top-reddit-machine-learning-december.html

• Top KDnuggets tweets, Dec 21 – Jan 03: R vs Python: A Comparison and Free Books to Learn; Popular Deep Learning Tools – a review

  R vs Python: A Comparison and Free Books to Learn; The Five Capability Levels of Deep Learning - Yann Lecun view; The Future Of Machine Learning, McKinsey 2016 Analytics Study; #BigData: Main Developments in 2016 and Key Trends in 2017

  https://www.kdnuggets.com/2017/01/top-tweets-dec21-jan03.html

• Top Stories, Dec 26-Jan 1: Game Theory Reveals the Future of Deep Learning; A Funny Look at Big Data and Data Science

  Game Theory Reveals the Future of Deep Learning; A Funny Look at Big Data and Data Science; Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017; How I Detect Fake News, by Tim O’Reilly

  https://www.kdnuggets.com/2017/01/top-news-week-1226-0101.html

• Game Theory Reveals the Future of Deep Learning">Game Theory Reveals the Future of Deep Learning

  This post covers the emergence of Game Theoretic concepts in the design of newer deep learning architectures. Deep learning systems need to be adaptive to imperfect knowledge and coordinating systems, 2 areas with which game theory can help.

  https://www.kdnuggets.com/2016/12/game-theory-reveals-future-deep-learning.html

• KDnuggets™ News 16:n46, Dec 28: 4 Reasons Your Machine Learning Model is Wrong; Deep Learning for coders MOOC

  First Deep Learning for coders MOOC launched by Jeremy Howard; 4 Reasons Your Machine Learning Model is Wrong; 5 Capability Levels of Deep Learning Intelligence; Data Science Basics: Power Laws and Distributions.

  https://www.kdnuggets.com/2016/n46.html

• The Five Capability Levels of Deep Learning Intelligence

  Deep learning writer Carlos Perez gives his own classification for deep learning-based AI, which is aimed at practitioners. This classification gives us a sense of where we currently are and where we might be heading.

  https://www.kdnuggets.com/2016/12/5-capability-levels-deep-learning-intelligence.html

• First Deep Learning for coders MOOC launched by Jeremy Howard

  Leading Data Scientist and entrepreneur Jeremy Howard launches a free Deep Learning course that shows end-to-end how to get state of the art results, including a top place in a Kaggle competition.

  https://www.kdnuggets.com/2016/12/deep-learning-coders-mooc-jeremy-howard.html

• Predictions for Deep Learning in 2017

  The first hugely successful consumer application of deep learning will come to market, a dominant open-source deep-learning tool and library will take the developer community by storm, and more Deep Learning predictions.

  https://www.kdnuggets.com/2016/12/ibm-predictions-deep-learning-2017.html

• Deep Learning Works Great Because the Universe, Physics and the Game of Go are Vastly Simpler than Prior Models and Have Exploitable Patterns

  How is Deep Learning experiencing such success solving complex problems? Deep Learning is useful and powerful but it is also that the problems were not as big or as hard as researchers feared when they were unsolved.

  https://www.kdnuggets.com/2016/12/deep-learning-works-great-universe-physics-go-simpler-than-previous-models.html

• Top Stories, Dec 5-11: Why Deep Learning is Radically Different From Machine Learning; Data Science Trends To Look Out For In 2017

  Why Deep Learning is Radically Different From Machine Learning; Data Science Trends To Look Out For In 2017; Bayesian Basics, Explained; Big Data: Main Developments in 2016 and Key Trends in 2017; 4 Cognitive Bias Key Points Data Scientists Need to Know

  https://www.kdnuggets.com/2016/12/top-news-week-1205-1211.html

• KDnuggets™ News 16:n43, Dec 7: Where did you use Data Science? The hard thing about Deep Learning; Big Data Main Events in 2016, Key Trends for 2017

  Where did you apply Analytics, Data Science in 2016? Big Data Main Developments in 2016 and Key Trends in 2017; The Data Science Delusion; The hard thing about deep learning.

  https://www.kdnuggets.com/2016/n43.html

• Top Stories, Nov 28-Dec 4: Machine Learning vs Statistics; Hard Thing About Deep Learning; Developers’ Machine Learning Intro

  Machine Learning vs Statistics; The hard thing about deep learning; Top 20 Python Machine Learning Open Source Projects, updated; Tips for Beginner Machine Learning/Data Scientists Feeling Overwhelmed; Introduction to Machine Learning for Developers

  https://www.kdnuggets.com/2016/12/top-news-week-1128-1204.html

• Why Deep Learning is Radically Different From Machine Learning">Why Deep Learning is Radically Different From Machine Learning

  There is a lot of confusion these days about Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL), yet the distinction is very clear to practitioners in these fields. Are you able to articulate the difference?

  https://www.kdnuggets.com/2016/12/deep-learning-radically-different-machine-learning.html

• The hard thing about deep learning">The hard thing about deep learning

  It’s easy to optimize simple neural networks, let’s say single layer perceptron. But, as network becomes deeper, the optmization problem becomes crucial. This article discusses about such optimization problems with deep neural networks.

  https://www.kdnuggets.com/2016/12/hard-thing-about-deep-learning.html

• 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

• Deep Learning Reading Group: Skip-Thought Vectors

  Skip-thought vectors take inspiration from Word2Vec skip-gram and attempt to extend it to sentences, and are created using an encoder-decoder model. Read on for an overview of the paper.

  https://www.kdnuggets.com/2016/11/deep-learning-group-skip-thought-vectors.html

• Shortcomings of Deep Learning

  Current Deep Learning successes such as AlphaGo rely on massive amount of labeled data, which is easy to get in games, but often hard in other contexts. You can't play 20 questions with nature and win!

  https://www.kdnuggets.com/2016/11/shortcomings-deep-learning.html

• Deep Learning cleans podcast episodes from ‘ahem’ sounds

  “3.5 mm audio jack… Ahem!!” where did you hear that? ;) Well, this post is not about Google Pixel vs iPhone 7, but how to remove ugly “Ahem” sound from a speech using deep convolutional neural network. I must say, very interesting read.

  https://www.kdnuggets.com/2016/11/deep-learning-cleans-podcast-ahem-sounds.html

• Deep Learning Research Review: Generative Adversarial Nets

  This edition of Deep Learning Research Review explains recent research papers in the deep learning subfield of Generative Adversarial Networks. Don't have time to read some of the top papers? Get the overview here.

  https://www.kdnuggets.com/2016/10/deep-learning-research-review-generative-adversarial-networks.html

• KDnuggets Top Blogger: An Interview with Adit Deshpande, Deep Learning Aficionado

  Read an interview with KDnuggets Top Blogger Adit Deshpande, a deep learning aficionado and masterful blogger, who also just happens to be a second year undergraduate student.

  https://www.kdnuggets.com/2016/10/top-blogger-interview-adit-deshpande.html

• NVIDIA: Deep Learning Library Software Development Engineer

  To researchers and companies are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. Join the team which is building software which will be used by the entire world.

  https://www.kdnuggets.com/jobs/16/10-20-nvidia-deep-learning-library-software-development-engineer.html

• NVIDIA: Senior Deep Learning R&D Engineer – Autonomous Driving

  Seeking a Senior Deep Learning R&D Engineer, with the opportunity to innovate from algorithms, to system design, to processor architecture and see your work used in cars all over the world.

  https://www.kdnuggets.com/jobs/16/10-19-nvidia-deep-learning-engineer-autonomous-driving.html

• NVIDIA: Senior Research Scientist (Deep Learning)

  Seeking a Senior Research Scientist (Deep Learning) to conceive deep learning approaches to solving particular product problems, construct and curate large problem specific datasets, and design and implement machine learning techniques aimed at solving specific problems.

  https://www.kdnuggets.com/jobs/16/10-19-nvidia-senior-research-scientist-deep-learning.html

• KDnuggets™ News 16:n37, Oct 19: Top Data Science Videos; 12 Interesting Big Data Careers; Deep Learning Key Terms

  Top 10 Data Science Videos on YouTube; Top 12 Interesting Careers to Explore in Big Data; Deep Learning Key Terms, Explained; Artificial Intelligence, Deep Learning, and Neural Networks, Explained; MLDB: The Machine Learning Database

  https://www.kdnuggets.com/2016/n37.html

• Top Stories, Oct 10-16: Deep Learning Key Terms, Explained; Artificial Intelligence, Deep Learning, and Neural Networks, Explained

  Deep Learning Key Terms, Explained; Artificial Intelligence, Deep Learning, and Neural Networks, Explained; Top 12 Interesting Careers to Explore in Big Data; Data Preparation Tips, Tricks, and Tools: An Interview with the Insiders; Here's How IT Departments are Using Big Data

  https://www.kdnuggets.com/2016/10/top-news-week-1010-1016.html

• Deep Learning meets Deep Deployment

  We now have a deep learning model that is able to deliver valuable results, but how can we apply it easily to new data where and when we need to?

  https://www.kdnuggets.com/2016/10/zementis-deep-learning-meets-deep-deployment.html

• Artificial Intelligence, Deep Learning, and Neural Networks, Explained">Artificial Intelligence, Deep Learning, and Neural Networks, Explained

  This article is meant to explain the concepts of AI, deep learning, and neural networks at a level that can be understood by most non-practitioners, and can also serve as a reference or review for technical folks as well.

  https://www.kdnuggets.com/2016/10/artificial-intelligence-deep-learning-neural-networks-explained.html

• Top /r/MachineLearning Posts, September: Open Images Dataset; Whopping Deep Learning Grant; Advanced ML Courseware

  Google Research announces the Open Images dataset; Canadian Government Deep Learning Research grant; DeepMind: WaveNet - A Generative Model for Raw Audio; Machine Learning in a Year - From total noob to using it at work; Phd-level machine learning courses; xkcd: Linear Regression

  https://www.kdnuggets.com/2016/10/top-reddit-machine-learning-september.html

• Statistics.com new courses: Anomaly Detection, Meta Analysis, IoT, Deep Learning, Spatial Analytics

  Five new courses from Statistics.com, fully online and asynchronous - interact with leading experts in private forums. Use promo code “kdn2016” for $50 off any course.

  https://www.kdnuggets.com/2016/10/statisticscom-new-courses.html

• Predicting Future Human Behavior with Deep Learning

  Carl Vondrick, MIT researcher, who studies computer vision and machine learning, discusses how to use Big Data with minimal annotations and applications to predictive vision and scene understanding.

  https://www.kdnuggets.com/2016/09/predicting-future-human-behavior-deep-learning.html

• 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

• Deep Learning Singapore & Machine Intelligence NYC – KDnuggets Offer

  Explore the latest machine learning research, technology and applications, with 2 RE.WORK events: the Deep Learning Summit in Singapore (20-21 Oct) and the Machine Intelligence Summit in New York City (Nov 2-3). Use code KDNUGGETS for 20% off.

  https://www.kdnuggets.com/2016/09/rework-deep-learning-singapore-machine-intelligence-nyc.html

• Top Stories, Sep 18-24: Top Algorithms and Methods Used by Data Scientists; 9 Key Deep Learning Papers, Explained

  Also - the 10 Algorithms Machine Learning Engineers Need to Know; Learning From Data (Intro Machine Learning) Caltech course starts on edX.

  https://www.kdnuggets.com/2016/09/top-news-week-0918-0924.html

• Up to Speed on Deep Learning: August Update, Part 2

  This is the second part of an overview of deep learning stories that made news in August. Look to see if you have missed anything.

  https://www.kdnuggets.com/2016/09/deep-learning-august-update-part-2.html

• Deep Learning Reading Group: Deep Residual Learning for Image Recognition

  Published in 2015, today's paper offers a new architecture for Convolution Networks, one which has since become a staple in neural network implementation. Read all about it here.

  https://www.kdnuggets.com/2016/09/deep-learning-reading-group-deep-residual-learning-image-recognition.html

• Up to Speed on Deep Learning: August Update

  Check out this thorough roundup of deep learning stories that made news in August, and see if there are any items of note that you missed.

  https://www.kdnuggets.com/2016/09/deep-learning-august-update.html

• 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

• Deep Learning Reading Group: Deep Compression

  An concise overview of a paper covering three methods of compressing a neural network in order to reduce the size of the network on disk, improve performance, and decrease run time.

  https://www.kdnuggets.com/2016/09/deep-learning-reading-group-deep-compression.html

• Deep Learning Reading Group: Deep Networks with Stochastic Depth

  An concise overview of a recent paper which introduces a new way to perturb networks during training in order to improve their performance, stochastic depth networks.

  https://www.kdnuggets.com/2016/09/deep-learning-reading-group-stochastic-depth-networks.html

• Up to Speed on Deep Learning: July Update, Part 2

  Check out this second installation of deep learning stories that made news in July. See if there are any items of note you missed.

  https://www.kdnuggets.com/2016/09/deep-learning-july-update-part-2.html

• KDnuggets™ News 16:n32, Sep 7: Cartoon: Data Scientist was sexiest job until…; Up to Speed on Deep Learning

  Cartoon: Data Scientist - the sexiest job of the 21st century until...; Up to Speed on Deep Learning: July Update; How Convolutional Neural Networks Work; Learning from Imbalanced Classes; What is the Role of the Activation Function in a Neural Network?

  https://www.kdnuggets.com/2016/n32.html

• Up to Speed on Deep Learning: July Update

  Check out this thorough roundup of deep learning stories that made news in July. See if there are any items of note you missed.

  https://www.kdnuggets.com/2016/08/deep-learning-july-update.html

• Is “Artificial Intelligence” Dead? Long Live Deep Learning?!?

  Has Deep Learning become synonymous with Artificial Intelligence? Read a discussion on the topic fuelled by the opinions of 7 participating experts, and gain some additional insight into the future of research and technology.

  https://www.kdnuggets.com/2016/08/artificial-intelligence-dead-long-live-deep-learning.html

• Analytics, Security, Deep Learning, IoT, Data Science Online Courses

  Upcoming online courses include : Statistical and machine learning methods for detecting anomalies, identifying images, and processing data from sensors; Deep Learning; Internet of Things (IoT): Programming for Analytics; and Meta Analysis in R.

  https://www.kdnuggets.com/2016/08/statisticscom-intelligence-security-analytics-online-courses.html

• KDnuggets™ News 16:n30, Aug 17: Why Deep Learning Works; Neural Networks with R; Central Limit Theorem for Data Science

  3 Thoughts on Why Deep Learning Works So Well; A Beginner's Guide to Neural Networks with R!; Central Limit Theorem for Data Science; Cartoon: Make Data Great Again

  https://www.kdnuggets.com/2016/n30.html

• 3 Thoughts on Why Deep Learning Works So Well

  While answering a posed question in his recent Quora Session, Yann LeCun also shared 3 high-level thoughts on why deep learning works so well.

  https://www.kdnuggets.com/2016/08/yann-lecun-3-thoughts-deep-learning.html

• Trulia (Zillow Group): Data Scientist – Computer Vision & Deep Learning

  Become one of the founding members of computer vision/deep learning group at Trulia and develop solutions that would be used by millions of users across Zillow Group.

  https://www.kdnuggets.com/jobs/16/08-07-trulia-data-scientist-computer-vision-deep-learning.html

• Deep Learning For Chatbots, Part 2 – Implementing A Retrieval-Based Model In TensorFlow

  Check out part 2 of this tutorial on building chatbots with deep neural networks. This part gets practical, and using Python and TensorFlow to implement.

  https://www.kdnuggets.com/2016/07/deep-learning-chatbots-part-2.html

• Why Do Deep Learning Networks Scale?

  A discussion of what about deep learning architectures allows them to scale, and addresses some assumptions that often inhibit an understanding of this topic.

  https://www.kdnuggets.com/2016/07/deep-learning-networks-scale.html

• Top Stories, July 18-24: Why Big Data is in Trouble; In Deep Learning, Architecture Engineering is the New Feature Engineering

  Why Big Data is in Trouble: They Forgot About Applied Statistics; In Deep Learning, Architecture Engineering is the New Feature Engineering; 5 Big Data Projects You Can No Longer Overlook; What Has Pokemon Got To Do With Big Data?

  https://www.kdnuggets.com/2016/07/top-news-week-0718-0724.html

• Introducing Cloud Hosted Deep Learning Models

  Algorithmia introduces a solution for hosting and distributing locally-trained deep learning models on Algorithmia using GPUs in the cloud, where they become smart API endpoints for other developers to use.

  https://www.kdnuggets.com/2016/07/algorithmia-cloud-hosted-deep-learning-models.html

• KDnuggets™ News 16:n26, Jul 20: Bayesian Machine Learning, Explained; Start Learning Deep Learning; Big Data is in Trouble

  Bayesian Machine Learning, Explained; How to Start Learning Deep Learning; Why Big Data is in Trouble: They Forgot About Applied Statistics; Data Mining/Data Science "Nobel Prize": 2016 SIGKDD Innovation Award to Philip S. Yu

  https://www.kdnuggets.com/2016/n26.html

• 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

• How to Start Learning Deep Learning

  Want to get started learning deep learning? Sure you do! Check out this great overview, advice, and list of resources.

  https://www.kdnuggets.com/2016/07/start-learning-deep-learning.html

• KDnuggets™ News 16:n25, Jul 13: Top Machine Learning MOOCs; 5 Deep Learning Projects; Support Vector Machines Overview

  Top Machine Learning MOOCs and Online Lectures: A Comprehensive Overview; Support Vector Machines: A Simple Explanation; 5 Deep Learning Projects You Can No Longer Overlook; Why You Should Attend the Data Science Summit 2016 and 9 Talks To Be Excited About

  https://www.kdnuggets.com/2016/n25.html

• Semi-supervised Feature Transfer: The Practical Benefit of Deep Learning Today?

  This post evaluates four different strategies for solving a problem with machine learning, where customized models built from semi-supervised "deep" features using transfer learning outperform models built from scratch, and rival state-of-the-art methods.

  https://www.kdnuggets.com/2016/07/semi-supervised-feature-transfer-deep-learning.html

• 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

• Top KDnuggets tweets, Jun 29 – Jul 5: Big Data Ecosystem is Too Damn Big!; Deep Learning Intro with Caffe and Python

  The #BigData Ecosystem is Too Damn Big!; A Practical Introduction to #DeepLearning with Caffe and #Python; What do Postgres, Kafka, and Bitcoin have in common?

  https://www.kdnuggets.com/2016/07/top-tweets-jun29-jul5.html

• Top June stories: The Difference Deep Learning and “Regular” Machine Learning? R, Python duel as top Data Science tools.

  Also Data Science of Variable Selection; The Big Data Ecosystem is Too Damn Big.

  https://www.kdnuggets.com/2016/07/top-stories-2016-jun.html

• A Review of Popular Deep Learning Models

  This post is a concise overview of a few of the more interesting popular deep learning models to have appeared over the past year. Get up to speed and try a few of the models out for yourself.

  https://www.kdnuggets.com/2016/06/review-deep-learning-models.html

• Top KDnuggets tweets, Jun 8-14: All-in-one Docker image for Deep Learning; Good Book list for Data lovers

  Good Book list for #Data lovers; OpenAI - a living collection of important and fun problems; All-in-one #Docker image for #DeepLearning; 10 Useful #Python #DataVisualization Libraries for Any Discipline;

  https://www.kdnuggets.com/2016/06/top-tweets-jun08-14.html

• What Big Data, Data Science, Deep Learning software goes together?

  We analyze the associations between top Data Science tools, Commercial vs Free/Open Source, rank tools on R vs Python bias, find tools more associated with Big Data, those more associated with Deep Learning, and uncover strong regional differences.

  https://www.kdnuggets.com/2016/06/big-data-science-deep-learning-software-associations.html

• Deep Learning, Pachinko, and James Watt: Efficiency is the Driver of Uncertainty

  A reasoned discussion of why the next generation of data efficient learning approaches rely on us developing new algorithms that can propagate stochasticity or uncertainty right through the model, and which are mathematically more involved than the standard approaches.

  https://www.kdnuggets.com/2016/06/deep-learning-pachinko-james-watt-efficiency-driver-uncertainty.html

• KDnuggets™ News 16:n20, Jun 8: R, Python Duel for 1st Place; “Regular” Machine Learning vs Deep Learning; Numpy Intro

  R, Python Duel As Top Analytics, Data Science software; What is the Difference Between Deep Learning and "Regular" Machine Learning; An Introduction to Scientific Python; How to Build Your Own Deep Learning Box

  https://www.kdnuggets.com/2016/n20.html

• The Truth About Deep Learning

  An honest look at deep learning, what it is not, its advantages over "shallow" neural networks, and some of the common assumptions and conflations that surround it.

  https://www.kdnuggets.com/2016/06/truth-deep-learning.html

• Top Stories, May 30 – June 6: Difference Between Deep Learning and “Regular” Machine Learning; Introduction to Numpy

  Difference Between Deep Learning and “Regular” Machine Learning; An Introduction to Scientific Python (and a Bit of the Maths Behind It) – NumPy; How to Build Your Own Deep Learning Box; Interacting with Machine Learning - Here is Why You Should Care

  https://www.kdnuggets.com/2016/06/top-news-week-0530-0606.html

• 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

• How to Build Your Own Deep Learning Box

  Want to build an affordable deep learning box and get all the required software installed? Read on for a proper overview.

  https://www.kdnuggets.com/2016/06/build-deep-learning-box.html

• KDnuggets™ News 16:n18, May 18: Annual Software Poll; Practical Data Science Skills; Creative Deep Learning

  Poll: What software you used for Analytics, Data Mining, Data Science; Practical skills that practical data scientists need; Are Deep Neural Networks Creative?; TPOT : A Python Tool for Automating Data Science

  https://www.kdnuggets.com/2016/n18.html

• Deep Learning and Neuromorphic Chips

  The 3 main ingredients to creating artificial intelligence are hardware, software, and data, and while we have focused historically on improving software and data, what if, instead, the hardware was drastically changed?

  https://www.kdnuggets.com/2016/05/deep-learning-neuromorphic-chips.html

• Top April stories: 10 Essential Books for Data Enthusiast; When Deep Learning is better than SVMs or Random Forests?

  Top 10 Essential Books for the Data Enthusiast; 10 Signs Of A Bad Data Scientist; When Does Deep Learning Work Better Than SVMs or Random Forests?; Comprehensive Guide to Learning Python for Data Science and more.

  https://www.kdnuggets.com/2016/05/top-news-2016-apr.html