Search results for deep learning

Found 5230 documents, 13734 searched:

• Top stories for Apr 18-24: Top 15 Machine Learning Frameworks, Deep Learning vs. SVMs and Random Forests

  When Does Deep Learning Work Better Than SVMs or Random Forests?; Comprehensive Guide to Learning Python for Data Analysis and Data Science; Top 15 Frameworks for Machine Learning Experts; Top 10 IPython Notebook Tutorials for Data Science and Machine Learning

  https://www.kdnuggets.com/2016/04/top-news-week-0418-0424.html

• When Does Deep Learning Work Better Than SVMs or Random Forests®?">When Does Deep Learning Work Better Than SVMs or Random Forests®?

  Some advice on when a deep neural network may or may not outperform Support Vector Machines or Random Forests.

  https://www.kdnuggets.com/2016/04/deep-learning-vs-svm-random-forest.html

• Deep Learning for Chatbots, Part 1 – Introduction

  The first in a series of tutorial posts on using Deep Learning for chatbots, this covers some of the techniques being used to build conversational agents, and goes from the current state of affairs through to what is and is not possible.

  https://www.kdnuggets.com/2016/04/deep-learning-chatbots-part-1.html

• Top stories for Apr 10-17: New Deep Learning Book Finished, Pocket Guide to Data Science

  New Deep Learning Book Finished; A Pocket Guide to Data Science; 7 Steps to Mastering Machine Learning With Python; From Science to Data Science, a Comprehensive Guide for Transition; Automated Machine Learning: Changing the Game

  https://www.kdnuggets.com/2016/04/top-news-week-0410-0417.html

• Top KDnuggets tweets, Apr 6-11: Using Machine Learning to predict Villanova win; Deep Learning for Beginners – notes by research leaders

  Deep Learning for Beginners - notes by research leaders ; Here is how Matt Harvey used #MachineLearning to predict #Villanova win; Brilliant #Dilbert cartoon: Management class on NOT listening finally pays off; #DeepLearning: 5 People To Know @AndrewYNg @Ylecun @karpathy @Peteskomoroch; #use Text Control: No formatting, No Character Formatting, Template: Default

  https://www.kdnuggets.com/2016/04/top-tweets-apr06-11.html

• KDnuggets™ News 16:n13, Apr 13: Signs of a Bad Data Scientist; Deep Learning from 30,000 Feet; Analytics Survey

  10 Signs Of A Bad Data Scientist; Deep Learning from 30,000 feet; IDC/KDnuggets Advanced Analytics Survey - please participate; A Pocket Guide to Data Science; Basics of GPU Computing for Data Scientists

  https://www.kdnuggets.com/2016/n13.html

• 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

• Top stories for Apr 3-9: Deep Learning for Internet of Things Using H2O; Basics of GPU Computing for Data Scientists

  7 Steps to Mastering Machine Learning With Python; Top 10 Essential Books for the Data Enthusiast; Deep Learning for Internet of Things Using H2O; Basics of GPU Computing for Data Scientists.

  https://www.kdnuggets.com/2016/04/top-news-week-apr-03.html

• Deep Learning from 30,000 feet

  My very-high level overview of Deep Learning for Delta Sky Magazine, including neurons, a conspiracy, games, amazing feats of superhuman ability, and more - appropriate for reading at 30,000 feet.

  https://www.kdnuggets.com/2016/04/delta-deep-learning-from-30000-feet.html

• Tricking Deep Learning

  Deep neural networks have had remarkable success with many tasks including image recognition. Read this overview regarding deep learning trickery, and why you should be cognizant.

  https://www.kdnuggets.com/2016/04/tricking-deep-learning.html

• Deep Learning for Internet of Things Using H2O

  H2O is feature-rich open source machine learning platform known for its R and Spark integration and it’s ease of use. This is an overview of using H2O deep learning for data science with the Internet of Things.

  https://www.kdnuggets.com/2016/04/deep-learning-iot-h2o.html

• Top /r/MachineLearning Posts, March: Hugs, Deep Learning Navigation, 3D Face Capture, AlphaGo!

  What's huggable, adversarial images for deep learning, overview of real-time 3D face capture and reenactment, deep learning quadcopter navigation, and a whole lot of AlphaGo!

  https://www.kdnuggets.com/2016/04/top-reddit-machine-learning-march.html

• How Shutterstock used Deep Learning to change the language of search

  How Shutterstock created computer-vision and Deep Learning technology that understands their 70 million-plus images and takes away the need for customers to type in descriptions and unreliable keywording. The technology relies on pixel data as its language of choice.

  https://www.kdnuggets.com/2016/04/shutterstock-deep-learning-change-language-search.html

• Must Know Tips for Deep Learning Neural Networks

  Deep learning is white hot research topic. Add some solid deep learning neural network tips and tricks from a PhD researcher.

  https://www.kdnuggets.com/2016/03/must-know-tips-deep-learning-part-1.html

• Deep Learning: an Interview with Yoshua Bengio

  Yoshua Bengio is a renowned figure in the machine learning and specifically deep learning, here is an interview with Yoshua about his thoughts on media interest in the field, future developments and more.

  https://www.kdnuggets.com/2016/03/deep-learning-interview-yoshua-bengio.html

• Yahoo! CaffeOnSpark: Distributed Deep Learning on Big Data Clusters

  Get an overview of Yahoo!'s CaffeOnSpark, the latest entrant into the world of distributed deep learning, directly from the developers.

  https://www.kdnuggets.com/2016/02/yahoo-caffe-spark-distributed-deep-learning.html

• KDnuggets™ News 16:n07, Feb 24: Deep Learning For Everyone; 21 Must-Know Data Science Q&A, part 2; Amazon Machine Learning

  21 Must-Know Data Science Interview Questions and Answers, part 2; Opening Up Deep Learning For Everyone; Getting Started with Data Visualization; Top 10 Data Visualization Projects on Github; Amazon Machine Learning.

  https://www.kdnuggets.com/2016/n07.html

• Opening Up Deep Learning For Everyone

  Opening deep learning up to everyone is a noble goal. But is it achievable? Should non-programmers and even non-technical people be able to implement deep neural models?

  https://www.kdnuggets.com/2016/02/opening-deep-learning-everyone.html

• Deep Learning and Startups: Notes on Rework Conference, San Francisco

  The Rework Deep Learning conference came to San Francisco this past January, and showcased both prominent deep learning researchers and startups. Get an overview of the proceedings with notes from an attendee.

  https://www.kdnuggets.com/2016/02/deep-learning-startups-rework-san-francisco.html

• The ICLR Experiment: Deep Learning Pioneers Take on Scientific Publishing

  Deep learning pioneers Yann LeCun and Yoshua Bengio have undertaken a grand experiment in academic publishing. Embracing a radical level of transparency and unprecedented public participation, they've created an opportunity not only to find and vet the best papers, but also to gather data about the publication process itself.

  https://www.kdnuggets.com/2016/02/iclr-deep-learning-scientific-publishing-experiment.html

• Top stories for Feb 7-13: Top 10 TED Talks for the Data Scientists; Easy Deep Learning with TensorFlow and Scikit-learn

  50+ Data Science and Machine Learning Cheat Sheets; 20 Questions to Detect Fake Data Scientists; Top 10 TED Talks for the Data Scientists; Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn.

  https://www.kdnuggets.com/2016/02/top-news-week-feb-07.html

• Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn">Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn

  Scikit Learn is a new easy-to-use interface for TensorFlow from Google based on the Scikit-learn fit/predict model. Does it succeed in making deep learning more accessible?

  https://www.kdnuggets.com/2016/02/scikit-flow-easy-deep-learning-tensorflow-scikit-learn.html

• KDnuggets™ News 16:n05, Feb 10: Deep Learning is not Enough; Apache Spark: RDD, DataFrame or Dataset?

  Deep Learning is not Enough; Apache Spark: RDD, DataFrame or Dataset?; New Tools Predict Markets with 99.9% certainty; Avoid These Common Data Visualization Mistakes;

  https://www.kdnuggets.com/2016/n05.html

• Deep Learning is not Enough

  Deep Learning has real successes, but is not enough to reach artificial intelligence, according to latest KDnuggets Poll. For more complex problems, should pure neural-net approaches be combined with symbolic, knowledge-based methods?

  https://www.kdnuggets.com/2016/02/deep-learning-not-enough.html

• Top January stories: 20 Questions to Detect Fake Data Scientists, Machine Intelligence vs. Machine Learning vs. Deep Learning vs. AI

  20 Questions to Detect Fake Data Scientists; What Is Machine Intelligence Vs. Machine Learning Vs. Deep Learning Vs. Artificial Intelligence (AI)? 7 Common Data Science Mistakes and How to Avoid Them; What questions can data science answer?

  https://www.kdnuggets.com/2016/02/top-news-2016-jan.html

• KDnuggets™ News 16:n04, Feb 3: Is Deep Learning Overhyped? Businesses Will Need 1M Data Scientists

  New Poll: Deep Learning - does reality match the hype?; Is Deep Learning Overhyped?; Businesses Will Need One Million Data Scientists by 2018; KDnuggets New Responsive, Mobile-Friendly Design.

  https://www.kdnuggets.com/2016/n04.html

• Microsoft Deep Learning Brings Innovative Features – CNTK Shows Promise

  Microsoft releases CNTK, a deep learning tool kit which shows promise. While a few innovative features set it apart from its competitors, a major drawback may hurt its adoption.

  https://www.kdnuggets.com/2016/02/microsoft-deep-learning-brings-innovative-features.html

• Cartoon: Deeper Deep Learning

  New KDnuggets Cartoon looks at a creative new way of achieving even better results and breaking through Machine Learning barriers with even "deeper" Deep Learning approach.

  https://www.kdnuggets.com/2016/02/cartoon-deeper-deep-learning.html

• Top /r/MachineLearning Posts, January: Google Masters Go, Deep Learning Laughs, OpenAI AMA

  In January on /r/MachineLearning: Go gets mastered, deep learning laughs, an OpenAI team AMA, convolutional neural nets colorize black and white photos, and the AI community loses a leader.

  https://www.kdnuggets.com/2016/02/top-reddit-machine-learning-january.html

• New Poll: Deep Learning – does reality match the hype?

  New KDnuggets Poll looks at the very hot field of Deep Learning and asks: does reality match the hype? Please vote!

  https://www.kdnuggets.com/2016/01/new-poll-deep-learning-reality-hype.html

• 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

• Deep Learning with Spark and TensorFlow

  The integration of TensorFlow with Spark leverages the distributed framework for hyperparameter tuning and model deployment at scale. Both time savings and improved error rates are demonstrated.

  https://www.kdnuggets.com/2016/01/deep-learning-spark-tensorflow.html

• 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

• Deep Feelings On Deep Learning

  A thoughtful opinion piece on deep learning and its role in Strong AI. A pragmatic view of deep learning and its comparison to competing learning strategies is presented.

  https://www.kdnuggets.com/2016/01/deep-feelings-deep-learning.html

• KDnuggets™ News 16:n02, Jan 20: Research Leaders on Key Advances, Top Trends; Top 10 Deep Learning Projects

  Research Leaders on Data Mining, Data Science and Big Data key advances, top trends; Top 10 Deep Learning Projects on Github; Top 100 Big Data Experts to Follow; Yahoo Releases the Largest-ever Machine Learning Dataset.

  https://www.kdnuggets.com/2016/n02.html

• Top stories for Jan 10-16: 20 Questions to Detect Fake Data Scientists; Machine Intelligence vs Machine Learning vs Deep Learning vs AI

  20 Questions to Detect Fake Data Scientists; TensorFlow Disappoints - Google Deep Learning falls shallow; Machine Intelligence vs Machine Learning vs Deep Learning vs AI; What To Expect from Deep Learning in 2016.

  https://www.kdnuggets.com/2016/01/top-news-week-jan-10.html

• What Is Machine Intelligence Vs. Machine Learning Vs. Deep Learning Vs. Artificial Intelligence (AI)?

  A discussion of three major approaches to building smart machines - Classic AI, Simple Neural Networks, and Biological Neural Networks - and examples as to how each approach might address the same problem.

  https://www.kdnuggets.com/2016/01/what-is-machine-intelligence-ml-deep-learning-ai.html

• 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

• KDnuggets™ News 16:n01, Jan 13: Detect Fake Data Scientists; Tensorflow is Terrific; More arXiv Deep Learning, explained

  20 Questions to Detect Fake Data Scientists; TensorFlow is Terrific; 5 More arXiv Deep Learning Papers, Explained; What questions can data science answer?

  https://www.kdnuggets.com/2016/n01.html

• 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

• What To Expect from Deep Learning in 2016 and Beyond

  Predictions from some of the top names in deep learning, including Ilya Sutskever and Andrej Karpathy, about what to expect in the field over the next 5 years.

  https://www.kdnuggets.com/2016/01/deep-learning-2016-beyond.html

• 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

• Top stories for Jan 3-9: 20 Questions to Detect Fake Data Scientists; 5 More arXiv Deep Learning Papers, Explained

  20 Questions to Detect Fake Data Scientists; 5 More arXiv Deep Learning Papers, Explained; TensorFlow is Terrific - A Sober Take on Deep Learning; 55 upcoming January - September Meetings.

  https://www.kdnuggets.com/2016/01/top-news-week-jan-03.html

• Summer School on Integrating Vision and Language with Deep Learning, March 21-24, Malta

  Through lectures and hands-on sessions, the summer school will cover the state of the art in using deep learning methods within our two disciplines, Computer Vision and Natural Language Processing. The school is open to anyone interested, free of charge. Researchers resident in COST countries are eligible to apply for financial support.

  https://www.kdnuggets.com/2016/01/summer-school-vision-language-deep-learning-march-malta.html

• Top 5 Deep Learning Resources, January

  There is an increasing volume of deep learning research, articles, blog posts, and news constantly emerging. Our Deep Learning Reading List aims to make this information easier to digest.

  https://www.kdnuggets.com/2016/01/deep-learning-reading-list-january.html

• Nando de Freitas AMA: Bayesian Deep Learning, Justice, and the Future of AI

  During his recent AMA, machine learning star Nando de Freitas answers a host of questions on a number of topics, including Bayesian methods in deep learning, harnessing AI for the good of humanity, and what the future holds for machine learning.

  https://www.kdnuggets.com/2016/01/nando-de-freitas-ama.html

• 5 More arXiv Deep Learning Papers, Explained

  Top recent deep learning papers on arXiv are presented, summarized, and explained with the help of a leading researcher in the field.

  https://www.kdnuggets.com/2016/01/more-arxiv-deep-learning-papers-explained.html

• TensorFlow is Terrific – A Sober Take on Deep Learning Acceleration">TensorFlow is Terrific – A Sober Take on Deep Learning Acceleration

  TensorFlow does not change the world. But it appears to be the best, most convenient deep learning library out there.

  https://www.kdnuggets.com/2015/12/tensor-flow-terrific-deep-learning-library.html

• 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

• Update: Google TensorFlow Deep Learning Is Improving

  The recent open sourcing of Google's TensorFlow was a significant event for machine learning. While the original release was lacking in some ways, development continues and improvements are already being made.

  https://www.kdnuggets.com/2015/12/update-google-tensorflow-deep-learning-is-improving.html

• 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

• Top 10 Deep Learning Tips & Tricks

  Deep Learning has been at the forefront of data science innovations throughout 2015. Dr. Arno Candel offers help through some valuable tips.

  https://www.kdnuggets.com/2015/12/top-10-deep-learning-tips-tricks.html

• Top November stories: TensorFlow Disappoints – Google Deep Learning falls shallow; 5 Best Machine Learning APIs for Data Science

  TensorFlow Disappoints - Google Deep Learning falls shallow; 5 Best Machine Learning APIs for Data Science; 7 Steps to Mastering Machine Learning With Python; A Statistical View of Deep Learning.

  https://www.kdnuggets.com/2015/12/top-news-2015-nov.html

• 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

• Spark + Deep Learning: Distributed Deep Neural Network Training with SparkNet

  Training deep neural nets can take precious time and resources. By leveraging an existing distributed batch processing framework, SparkNet can train neural nets quickly and efficiently.

  https://www.kdnuggets.com/2015/12/spark-deep-learning-training-with-sparknet.html

• Top KDnuggets tweets, Nov 16-22: Dilbert discovers the perfect chart; TensorFlow Disappoints – Google Deep Learning falls shallow

  A standard #graph for any occasion! #Dilbert discovers the perfect chart; TensorFlow Disappoints - Google #DeepLearning falls shallow; All the #BigData tools and how to use them; KDnuggets #DataScience #Cartoon Caption Contest.

  https://www.kdnuggets.com/2015/11/top-tweets-nov16-22.html

• Top stories for Nov 15-21: TensorFlow Disappoints – Google Deep Learning falls shallow; 7 Steps to Mastering Machine Learning With Python

  TensorFlow Disappoints - Google Deep Learning falls shallow; 7 Steps to Mastering Machine Learning With Python; The different data science roles in the industry; The Five Myths of Big Data.

  https://www.kdnuggets.com/2015/11/top-news-week-nov-15.html

• 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

• KDnuggets™ News 15:n38, Nov 18: TensorFlow Disappoints; Spark with Python; Deep Learning; Top 20 Books

  TensorFlow Disappoints - Google Deep Learning falls shallow; Introduction to Spark with Python; A Statistical View of Deep Learning; Amazon Top 20 Books in Databases & Big Data.

  https://www.kdnuggets.com/2015/n38.html

• Top KDnuggets tweets, Nov 10-16: 5 Books Every #Data Professional Needs; TensorFlow Disappoints – Google Deep Learning falls shallow

  Deep Learning for #Visual Question Answering; 5 Books Every #Data Professional Needs; Deep, excellent overview: A Statistical View of #DeepLearning; TensorFlow Disappoints - Google #DeepLearning falls shallow.

  https://www.kdnuggets.com/2015/11/top-tweets-nov10-16.html

• TensorFlow Disappoints – Google Deep Learning falls shallow

  Google recently open-sourced its TensorFlow machine learning library, which aims to bring large-scale, distributed machine learning and deep learning to everyone. But does it deliver?

  https://www.kdnuggets.com/2015/11/google-tensorflow-deep-learning-disappoints.html

• Deep Learning, Language Understanding, and the Quest for Human Capacity Cognitive Computing

  To develop cognitive computing at human capacity understanding, deep learning research must heed what certain aspects of human symbol processing reveal about the architecture of the human mind.

  https://www.kdnuggets.com/2015/11/deep-learning-language-understanding-cognitive-computing.html

• Top stories for Nov 8-14: 5 Best Machine Learning APIs; A Statistical View of Deep Learning

  5 Best Machine Learning APIs for Data Science; Apache Spark Machine Learning with Large Data; A Statistical View of Deep Learning; Introduction to Spark with Python.

  https://www.kdnuggets.com/2015/11/top-news-week-nov-8.html

• 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

• Top KDnuggets tweets, Nov 3-9: 500 Deep Learning Papers, Graphviz and Python; Facebook App can answer questions on content of photos

  500 #DeepLearning Papers, Graphviz and Python; Skills You Need To Become a $240K+ Unicorn Data Scientist: n1 is Apache #Spark; Cartoon: It all started with the iPhone answering my Gmail; Overview of Python Visualization Tools

  https://www.kdnuggets.com/2015/11/top-tweets-nov03-09.html

• Top stories for Nov 1-7: Beginners Guide: Apache Spark Machine Learning with Big Data; 6 crazy things Deep Learning can do

  Beginners Guide: Apache Spark Machine Learning with Big Data; 5 Best Machine Learning APIs; 6 crazy things Deep Learning can do with your data; Overview of Python Visualization Tools.

  https://www.kdnuggets.com/2015/11/top-news-week-nov-1.html

• Top October stories: Top 5 arXiv Deep Learning Papers, Explained; R vs Python: head to head data analysis

  Top 5 arXiv Deep Learning Papers, Explained; R vs Python: head to head data analysis; 90+ Active Blogs on Analytics, Big Data, Data Mining, Data Science; Does Deep Learning Come from the Devil?

  https://www.kdnuggets.com/2015/11/top-news-2015-oct.html

• Top KDnuggets tweets, Oct 27 – Nov 02: A Framework for Distributed Deep Learning Layer Design in Python

  A Framework for Distributed #DeepLearning Layer Design in Python; SQL vs. NoSQL- What You Need to Know; Great Tutorial: A Neural Network in 11 lines of #Python; Data Scientist - 2nd Best IT and Engineering Job.

  https://www.kdnuggets.com/2015/11/top-tweets-oct27-nov02.html

• Why Deep Learning Works – Key Insights and Saddle Points

  A quality discussion on the theoretical motivations for deep learning, including distributed representation, deep architecture, and the easily escapable saddle point.

  https://www.kdnuggets.com/2015/11/theoretical-deep-learning.html

• Top /r/DataScience Posts, October: Plagiarism, Reddit AMAs, Deep Learning Summer School

  Plagiarism, a data science author's upcoming AMA, Deep Learning Summer School, essential tools for us all, and data scientist interview questions.

  https://www.kdnuggets.com/2015/11/top-reddit-data-science-october.html

• 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

• Top stories for Oct 25-31: Amazon Top 20 Books in Data Mining; Blocks and Fuel – Frameworks for Deep Learning in Python

  Amazon Top 20 Books in Data Mining; Introducing: Blocks and Fuel - Frameworks for Deep Learning in Python; How Big Data is used in Recommendation Systems to change our lives.

  https://www.kdnuggets.com/2015/11/top-news-week-oct-25.html

• Deep Learning Finds What Makes a Good #selfie

  Ever wonder how a convolutional neural network would rate your selfies? Well, wonder no more!

  https://www.kdnuggets.com/2015/10/karpathy-deep-learning-good-selfie.html

• Introducing: Blocks and Fuel – Frameworks for Deep Learning in Python

  Blocks and Fuel are machine learning frameworks for Python developed by the Montreal Institute of Learning Algorithms (MILA) at the University of Montreal. Blocks is built upon Theano (also by MILA) and allows for rapid prototyping of neural network models. Fuel serves as a data processing pipeline and data interface for Blocks.

  https://www.kdnuggets.com/2015/10/blocks-fuel-deep-learning-frameworks.html

• KDnuggets™ News 15:n33, Oct 14: Is Deep Learning from Devil? Recurrent Neural Networks; Best Blogs

  Does Deep Learning Come from the Devil?; Recurrent Neural Networks Tutorial, Introduction; 90+ Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning; Best Data Science Online Courses.

  https://www.kdnuggets.com/2015/n33.html

• Does Deep Learning Come from the Devil?

  Deep learning has revolutionized computer vision and natural language processing. Yet the mathematics explaining its success remains elusive. At the Yandex conference on machine learning prospects and applications, Vladimir Vapnik offered a critical perspective.

  https://www.kdnuggets.com/2015/10/deep-learning-vapnik-einstein-devil-yandex-conference.html

• KDnuggets™ News 15:n32, Oct 7: Top 5 arXiv Deep Learning Papers, Explained; Best HBR articles on Analytics, Big Data

  Top 5 arXiv Deep Learning Papers, Explained; 30 best Harvard Business Review articles on Analytics, Big Data; Crushed it! Landing a data science job; Data science job market - what it's like.

  https://www.kdnuggets.com/2015/n32.html

• Top KDnuggets tweets, Sep 29 – Oct 5: Top 5 arXiv Deep Learning Papers, Explained

  Crushed it! Useful advice for landing a data science job; Top 5 arXiv Deep Learning Papers, Explained; 30 best HBR articles; Researcher who broke Netflix Prize to find if data is truly anonymized w. grant from Google.

  https://www.kdnuggets.com/2015/10/top-tweets-sep29-oct05.html

• Top stories for Sep 27 – Oct 3: Top 5 arXiv Deep Learning Papers, Explained; 30 best HBR articles on Big Data, Data Science

  Top 5 arXiv Deep Learning Papers, Explained; 30 Can't miss Harvard Business Review articles on Data Science, Big Data and Analytics; Data Lake vs Data Warehouse: Key Differences.

  https://www.kdnuggets.com/2015/10/top-news-week-sep-27.html

• Top 5 arXiv Deep Learning Papers, Explained

  Top deep learning papers on arXiv are presented, summarized, and explained with the help of a leading researcher in the field.

  https://www.kdnuggets.com/2015/10/top-arxiv-deep-learning-papers-explained.html

• Top stories for Sep 13-19: Trying to acquire Machine Learning Skills? Deep Learning and Artistic Style

  Trying to acquire Machine Learning Skills? Deep Learning and Artistic Style - Can art be quantified?; Free Books on Big Data, Data Science.

  https://www.kdnuggets.com/2015/09/top-news-week-sep-13.html

• Deep Learning and Artistic Style – Can art be quantified?

  We analyze the latest advance in Deep learning which teaches computers to paint in the style of different famous painters, from Van Gogh to Picasso. Is it really Art?

  https://www.kdnuggets.com/2015/09/deep-learning-art-style.html

• Top /r/MachineLearning Posts, August: Deep Learning paints in style of many famous painters

  Deep Learning algorithm generating paintings in the styles of famous artists, Genetic algorithms pioneer John Holland passes away, Beginner Python data analysis tutorial, LSTM networks explained, and Google Thought Vectors.

  https://www.kdnuggets.com/2015/09/top-reddit-machine-learning-august.html

• H2O Deep Learning Webinar

  H2O.ai is a Google-scale open source machine learning engine for R and Big Data. This webinar introduces Distributed Deep Learning concepts, implementation and results from recent developments.

  https://www.kdnuggets.com/2015/08/h2o-deep-learning-webinar.html

• Top /r/MachineLearning Posts, July: Visual Intro to Machine Learning, Google new patent controversy, Deep Learning and famous art

  A Visual Introduction to Machine Learning, Why Google's new patent applications are alarming, Art with Google's Inceptionism code, Google Photo's algorithm gone wrong and a Neural network tutorial made it to the top this month!

  https://www.kdnuggets.com/2015/08/top-reddit-machine-learning-posts-july.html

• 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

• Top July stories: 50+ Data Science and Machine Learning Cheat Sheets; Deep Learning and the Triumph of Empiricism

  50+ Data Science and Machine Learning Cheat Sheets; Deep Learning and the Triumph of Empiricism; Can deep learning help find the perfect date? Impact of IoT on Big Data Landscape.

  https://www.kdnuggets.com/2015/08/top-news-2015-jul.html

• Top KDnuggets tweets, Jul 21-27: Beginner Guide to Time Series Analysis; Free Deep Learning online course

  Beginner #Guide to #TimeSeries #Analysis; Nvidia free #online course: Intro to #DeepLearning ; To Code or Not to Code with @KNIME; Guide To Linear #Regression

  https://www.kdnuggets.com/2015/07/top-tweets-jul21-27.html

• KDnuggets™ News 15:n23, Jul 22: Deep Learning Adversarial Examples Myths & Facts; Stop Hiring Data Scientists Until …

  Deep Learning Adversarial Examples - facts and myths; Stop Hiring Data Scientists Until; arXiv.org and the 24 Hour Research Cycle; Statistics Denial Myth and Repackaging Statistics.

  https://www.kdnuggets.com/2015/n23.html

• Top stories for Jul 12-18: 50+ Data Science, Machine Learning Cheat Sheets; Deep Learning Adversarial Examples – Misconceptions

  50+ Data Science and Machine Learning Cheat Sheets; Can deep learning help find the perfect date? Deep Learning Adversarial Examples - Clarifying Misconceptions; R, Python users show surprising stability, strong regional differences.

  https://www.kdnuggets.com/2015/07/top-news-week-jul-12.html

• Deep Learning Adversarial Examples – Clarifying Misconceptions

  Google scientist clarifies misconceptions and myths around Deep Learning Adversarial Examples, including: they do not occur in practice, Deep Learning is more vulnerable to them, they can be easily solved, and human brains make similar mistakes.

  https://www.kdnuggets.com/2015/07/deep-learning-adversarial-examples-misconceptions.html

• KDnuggets™ News 15:n22, Jul 15: Deep Learning, Empiricism, & Perfect Girl; 50+ Cheat Sheets; R vs Python

  Deep Learning and the Triumph of Empiricism; 50+ Data Science and Machine Learning Cheat Sheets; 3 Ways to Master Uplift Modeling; Can Deep Learning Help you Find the Perfect Girl?

  https://www.kdnuggets.com/2015/n22.html

• Top KDnuggets tweets, Jul 7-13: Deep Learning and the Triumph of Empiricism

  Deep Learning and the Triumph of Empiricism; What can Hadoop do that my data warehouse cant?; Emacs for Data Science; Dataiku DataScience Studio - intuitive solution.

  https://www.kdnuggets.com/2015/07/top-tweets-jul07-13.html

• Can Deep Learning Help you Find the Perfect Girl? – Part 2

  Using Deep Learning to find the perfect match, PhD student Harm de Vries describes the process of data collection and analysis. Finally, the results from matching algorithm are compared to human assessment for identifying an individual's dating preferences.

  https://www.kdnuggets.com/2015/07/can-deep-learning-help-find-perfect-girl-2.html

• Top stories for Jul 5-11: Deep Learning and the Triumph of Empiricism; Data Science != Big Data

  Deep Learning and the Triumph of Empiricism; Data Science and Big Data: Two very Different Beasts; Top 20 R packages by popularity; 10 Key Tips for Entry-Level Analytics Professionals.

  https://www.kdnuggets.com/2015/07/top-news-week-jul-5.html

• Can deep learning help find the perfect date?

  When a Machine Learning PhD student at University of Montreal starts using Tinder, he soon realises that something is missing in the dating app - the ability to predict to which girls he is attracted. Harm de Vries applies Deep Learning to assist in the pursuit of the perfect match.

  https://www.kdnuggets.com/2015/07/can-deep-learning-help-find-perfect-girl.html

• Deep Learning and the Triumph of Empiricism

  Theoretical guarantees are clearly desirable. And yet many of today's best-performing supervised learning algorithms offer none. What explains the gap between theoretical soundness and empirical success?

  https://www.kdnuggets.com/2015/07/deep-learning-triumph-empiricism-over-theoretical-mathematical-guarantees.html

• Cartoon: Where humans are still ahead of Deep Learning

  Deep Learning computer recently beats humans in an IQ test, and computers have beaten human champions in Chess and Jeopardy. However, KDnuggets cartoon finds an area where humans still have an advantage.

  https://www.kdnuggets.com/2015/07/cartoon-humans-ahead-deep-learning.html

• Top stories for Jun 21-27: Popular Deep Learning Tools; Why Does Deep Learning Work?

  Popular Deep Learning Tools - a review; Top 10 Machine Learning Videos on YouTube; Why Does Deep Learning Work?; Top 20 R Machine Learning and Data Science packages.

  https://www.kdnuggets.com/2015/06/top-news-week-jun-21.html

• KDnuggets™ News 15:n20, Jun 24: Data Science Battle: R vs Python; Popular Deep Learning Tools

  New Poll: R vs Python - Primary Programming Language for Analytics, Data Science; Popular Deep Learning Tools - a review; I'm a data scientist - mind if I do surgery on your heart?; Why Does Deep Learning Work?

  https://www.kdnuggets.com/2015/n20.html

• Top KDnuggets tweets, Jun 16-22: Deep Learning resources from O’Reilly; Free Kaggle Machine Learning Tutorial in R

  #DeepLearning resources from @OReillyMedia to help you get started; Free @Kaggle #MachineLearning Tutorial in R - learn how to compete in #DataScience; Data Scientists, enjoy your fat salaries while you can; Computational Aesthetics #Algorithm Spots #Beauty That Humans Overlook.

  https://www.kdnuggets.com/2015/06/top-tweets-jun16-22.html

• Why Does Deep Learning Work?

  Many researchers recently trying to open the “black-box” of the deep learning. Here we summarize these efforts of how neural nets of deep learning are evolve and how Spin Funnel and deep learning are related.

  https://www.kdnuggets.com/2015/06/why-does-deep-learning-work.html

• Top stories for Jun 14-20: Which Big Data, Data Mining Tools go together? Popular Deep Learning Tools

  Which Big Data, Data Mining, and Data Science Tools go together?; Top 20 Python Machine Learning Open Source Projects; Popular Deep Learning Tools - a review; Decision Boundaries for Deep Learning and other Machine Learning classifiers.

  https://www.kdnuggets.com/2015/06/top-news-week-jun-14.html

• Popular Deep Learning Tools – a review

  Deep Learning is the hottest trend now in AI and Machine Learning. We review the popular software for Deep Learning, including Caffe, Cuda-convnet, Deeplearning4j, Pylearn2, Theano, and Torch.

  https://www.kdnuggets.com/2015/06/popular-deep-learning-tools.html

• Not So Fast: Questioning Deep Learning IQ Results

  Did deep learning just leap towards human intelligence? Not so fast.

  https://www.kdnuggets.com/2015/06/questioning-deep-learning-iq-results.html

• Decision Boundaries for Deep Learning and other Machine Learning classifiers

  H2O, one of the leading deep learning framework in python, is now available in R. We will show how to get started with H2O, its working, plotting of decision boundaries and finally lessons learned during this series.

  https://www.kdnuggets.com/2015/06/decision-boundaries-deep-learning-machine-learning-classifiers.html

• Deep Learning and Big Data Products: Synthos Technologies

  Using Deep Learning to build products on massive scale, virtues of transaction analytics, and which industries will likely to be disrupted in the near future, a perspective from Synthos Technologies.

  https://www.kdnuggets.com/2015/05/deep-learning-big-data-synthos-technologies.html

• Deep Learning with Structure – a preview

  A big problem with Deep Learning networks is that their internal representation lacks interpretability. At the upcoming #DeepLearning Summit, Charlie Tang, a student of Geoff Hinton, will present an approach to address this concern - here is a preview.

  https://www.kdnuggets.com/2015/05/deep-learning-structure-preview.html

• Talking Machine – Deep Learning in Speech Recognition

  A summary about an episode on the talking machine about deep neural networks in speech recognition given by George Dahl, who is one of Geoffrey Hinton’s students and just defended his Ph.D last month.

  https://www.kdnuggets.com/2015/05/talking-machine-deep-learning-speech-recognition.html

• Top KDnuggets tweets, Apr 21-27: Great discussion: Building Big Data systems in academia, industry; Deep Learning in a Nutshell

  Great discussion: Building #BigData systems in academia, industry; DeepLearning in a Nutshell - what it is, how it works, why care?; Basics of #DeepLearning to Get You Started; Top LinkedIn Groups for #Analytics, #BigData.

  https://www.kdnuggets.com/2015/04/top-tweets-apr21-27.html

• Top /r/MachineLearning Posts, Apr 12-18: Andrew Ng AMA, Autoencoders, and Deep Learning Textbooks

  Andrew Ng's AMA, a probabilistic view of Autoencoders, open source sentiment analysis, deep learning textbooks, and Airbnb's host matching are all discussed this week on /r/MachineLearning.

  https://www.kdnuggets.com/2015/04/top-machine-learning-posts-apr12-18.html

• Deep Learning to Fight Crime

  We look at how using Deep Learning, Spark, and H2O Machine Learning platform can be used to analyze and predict crime in San Francisco and Chicago.

  https://www.kdnuggets.com/2015/04/deep-learning-fight-crime.html

• Top /r/MachineLearning Posts, Mar 29-Apr 4: Andrew Ng AMA, Deep Learning for NLP, and OpenCL Convnets

  Andrew Ng's upcoming AMA, scikit-learn updates, Richard Socher's Deep Learning NLP videos, Criteo's huge new dataset, and convolutional neural networks on OpenCL are the top topics discussed this week on /r/MachineLearning.

  https://www.kdnuggets.com/2015/04/top-machine-learning-posts-mar29-apr4.html

• Inside Deep Learning: Computer Vision With Convolutional Neural Networks

  Deep Learning-powered image recognition is now performing better than human vision on many tasks. We examine how human and computer vision extracts features from raw pixels, and explain how deep convolutional neural networks work so well.

  https://www.kdnuggets.com/2015/04/inside-deep-learning-computer-vision-convolutional-neural-networks.html

• Top stories in March: 7 common Machine Learning mistakes; Deep Learning for Text Understanding from Scratch

  7 common mistakes when doing Machine Learning; Deep Learning for Text Understanding from Scratch; More Free Data Mining, Data Science Books and Resources; The Grammar of Data Science: Python vs R.

  https://www.kdnuggets.com/2015/04/top-news-2015-mar.html

• Top stories for Mar 29 – Apr 4: Deep Learning, Dimensionality, and Autoencoders; The Grammar of Data Science: Python vs R

  Deep Learning, The Curse of Dimensionality, and Autoencoders; The Grammar of Data Science: Python vs R; Data Science as a profession - time is now; Forrester Wave Big Data Predictive Analytics 2015: Gainers and Losers.

  https://www.kdnuggets.com/2015/04/top-news-week-mar-29.html

• Top /r/MachineLearning Posts, Mar 22-28: Deep Learning flaws & Security, DeepMind Publications, and Keras

  Computer Vision security issues, DeepMind, statistics with Python, hacking on neural networks, and Keras, a neural network library are all topics on top of /r/MachineLearning this week.

  https://www.kdnuggets.com/2015/03/top-machine-learning-posts-mar22-28.html

• Talking Machine – 3 Deep Learning Gurus Talk about History and Future, part 2

  Key ideas from a podcast with Deep Learning gurus Geoff Hinton, Yoshua Bengio, and Yann LeCun, where they explain the power of distributed representation and also propose a new open paper review process.

  https://www.kdnuggets.com/2015/03/talking-machine-deep-learning-gurus-p2.html

• 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

• KDnuggets™ News 15:n09, Mar 25: Deep Learning from Scratch; 10 steps to Kaggle Success; US CDS DJ Patil Cartoon

  Deep Learning for Text Understanding from Scratch; New Poll: Computing platform; 10 Steps to Success in Kaggle Data; Cartoon: US Chief Data Scientist Most Difficult Challenge; SQL-like Query Language for Real-time Streaming Analytics.

  https://www.kdnuggets.com/2015/n09.html

• Top stories for Mar 15-21: Deep Learning for Text Understanding from Scratch; White House on Big Data and Differential Pricing

  Deep Learning for Text Understanding from Scratch; 7 common mistakes when doing Machine Learning; White House report on Big Data and Differential Pricing; Why Data Gravity Cannot be Ignored.

  https://www.kdnuggets.com/2015/03/top-news-week-mar-15.html

• Small Data requires Specialized Deep Learning and Yann LeCun response

  For industries that have relatively small data sets (less than a petabyte), a Specialized Deep Learning approach based on unsupervised learning and domain knowledge is needed.

  https://www.kdnuggets.com/2015/03/small-data-specialized-deep-learning-yann-lecun.html

• Top /r/MachineLearning Posts, Mar 8-14: Word vectors, Hardware for Deep Learning, and Neural Graphics Engines

  Word vectors in NLP, Machine Learning's place in programming, hardware for deep learning, Machine Learning interviews, and neural graphics engines are all topics covered this week on /r/MachineLearning.

  https://www.kdnuggets.com/2015/03/top-machine-learning-posts-mar8-14.html

• Top stories for Mar 8-14: 7 common Machine Learning mistakes; Deep Learning for Text Understanding from Scratch

  7 common mistakes when doing Machine Learning; Deep Learning for Text Understanding from Scratch; SQL-like Query Language for Real-time Streaming Analytics; 10 Steps to Success in Kaggle Data Science Competitions.

  https://www.kdnuggets.com/2015/03/top-news-week-mar-8.html

• 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

• Deep Learning, The Curse of Dimensionality, and Autoencoders

  Autoencoders are an extremely exciting new approach to unsupervised learning and for many machine learning tasks they have already surpassed the decades of progress made by researchers handpicking features.

  https://www.kdnuggets.com/2015/03/deep-learning-curse-dimensionality-autoencoders.html

• Top KDnuggets tweets, Mar 2-8: 6 categories in the Hadoop Ecosystem; How PayPal uses Deep Learning to fight fraud

  How #PayPal uses #DeepLearning and detective work to fight #fraud; Beginning #deeplearning with 500 lines of Julia; Processing frameworks for Hadoop and 6 categories in the #Hadoop Ecosystem; KDnuggets Poll results: #Analytics, #DataMining, #DataScience salary income by region.

  https://www.kdnuggets.com/2015/03/top-tweets-mar02-08.html

• Top /r/MachineLearning Posts, Mar 1-7: Stanford Deep Learning for NLP, Machine Learning with Scikit-learn

  This week on /r/MachineLearning, we have a new NLP-focused deep learning course from Stanford, an introduction to scikit-learn, visualization of music collections, an implementation of DeepMind, and NLP using deep learning and Torch.

  https://www.kdnuggets.com/2015/03/top-machine-learning-posts-mar1-7.html

• RE.WORK Deep Learning Summit, San Francisco, January – videos, presentations

  Interesting videos and presentations from January Deep Learning Summit include a Fireside Chat with Andrew Ng and Derrick Harris, presentations by Richard Socher (Founder, MetaMind), Quoc Le (Research Scientist, Google), Greg Corrado (Sr Research Scientist at Google), and more.

  https://www.kdnuggets.com/2015/02/rework-deep-learning-summit-san-francisco-january-videos-presentations.html

• Top KDnuggets tweets, Feb 23-25: Microsoft is building fast, low-power Deep Learning networks; Lucrative tech careers: Data Scientist, Data Engineer

  5 lucrative tech careers in 2015: Data Scientist ($150K), Data Engineer ($148K); Which SQL on Hadoop? Gartner Poll Still Says "Whatever" But DBMS Providers Gain; 10 Most-Funded #BigData #Startups; DataRPM 8 runs in #Hadoop, uses #MachineLearning to find insights.

  https://www.kdnuggets.com/2015/02/top-tweets-feb23-25.html