<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Mon, 27 Apr 2026 13:15:06 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/@deeplearning/rss" rel="self" type="application/rss+xml"/><item><title><![CDATA[TensorFlow.js - equivalent of the popular TensorFlow library for the javascript language]]></title><description><![CDATA[Introduction Tensorflow is a very popular open source deep learning library, mainly for python. It was created by the Google Brain. For a long time there was no equivalent to javascript, which would be]]></description><link>http://direct.ecency.com/programming/@deeplearning/tensorflow-js-equivalent-of-the-popular-tensorflow-library-for-the-javascript-language</link><guid isPermaLink="true">http://direct.ecency.com/programming/@deeplearning/tensorflow-js-equivalent-of-the-popular-tensorflow-library-for-the-javascript-language</guid><category><![CDATA[programming]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Wed, 16 May 2018 23:20:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXYvyw62SzS5Tz3mfJEd6KhuDFZh4STeniWBrgsS33XtdNY6sF4CGNzaoFEwBnZRKrxwCH7wjwGz?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Style transfer using neural networks]]></title><description><![CDATA[Introduction Style transfer (also known as color transfer) is a technique that transfers style from one image (or multiple images) to another while maintaining its structure. So if we have a black-and-white]]></description><link>http://direct.ecency.com/ai/@deeplearning/style-transfer-using-neural-networks</link><guid isPermaLink="true">http://direct.ecency.com/ai/@deeplearning/style-transfer-using-neural-networks</guid><category><![CDATA[ai]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Thu, 28 Dec 2017 18:33:39 GMT</pubDate><enclosure url="https://images.ecency.com/p/3W72119s5BjWMGm4Xa2MvD5AT2bJsSA8F9WeC71v1s1fKfGkK9mMKuc3LcvF4KigbWg9UsrpEPFzghH3ugMQ5MiDFkHnGtPcgWh8NvJpYmtvMQEjegKqhx?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Popular neural network types]]></title><description><![CDATA[Multilayer Perceptron This is the most popular type of neural network. It consists of an input layer, then a hidden layer and an output layer. The structure of such a network is as follows: Here we have]]></description><link>http://direct.ecency.com/ai/@deeplearning/popular-neural-network-types</link><guid isPermaLink="true">http://direct.ecency.com/ai/@deeplearning/popular-neural-network-types</guid><category><![CDATA[ai]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Tue, 12 Dec 2017 19:37:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXYbriJ5MgRCCDGeqEQDFbsyp5vts8wGzya8s7NoQ3NsmzMvYmT1afg9wosWJYKjcqA5GfS2ZUuc?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[AlphaZero defeats the best engines in chess, shogi and Go]]></title><description><![CDATA[Not so long ago AlphaGo Zero celebrated the triumphs in the game Go, and now DeepMind presented a new version called AlphaZero, which is more generic, because it faced the strongest engines in games such]]></description><link>http://direct.ecency.com/ai/@deeplearning/alphazero-defeats-the-best-engines-in-chess-shogi-and-go</link><guid isPermaLink="true">http://direct.ecency.com/ai/@deeplearning/alphazero-defeats-the-best-engines-in-chess-shogi-and-go</guid><category><![CDATA[ai]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Fri, 08 Dec 2017 10:12:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/TZjG7hXReeVuPVTrmzrCvoEKibia23bSfNrbCWy3WTy2u2awLcYTYJvWanAz8sJMF4vSuc1Zoi4n9wiHGo4BzFbMasjAgB9oZQvcikkkTLjHtvDvvhzpSVNvU7eqV8xmka49k8A7Xrr7Tt?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Pretrained deep learning models with demos]]></title><description><![CDATA[Models are pretrained so after download there is no need to train them. ​ Object recognition: VGG16 Inception V3 Mobile Net Object Detection: SSD Inception v2 NLP: Unsupervised Sentiment Neuron DeepMoji]]></description><link>http://direct.ecency.com/machine-learning/@deeplearning/pretrained-deep-learning-models-with-demos</link><guid isPermaLink="true">http://direct.ecency.com/machine-learning/@deeplearning/pretrained-deep-learning-models-with-demos</guid><category><![CDATA[machine-learning]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Fri, 27 Oct 2017 15:16:18 GMT</pubDate></item><item><title><![CDATA[NLP Tasks and References]]></title><description><![CDATA[List contains such topics as: Anaphora Resolution Automated Essay Scoring Automatic Speech Recognition Automatic Summarisation Coreference Resolution Entity Linking Grammatical Error Correction Grapheme]]></description><link>http://direct.ecency.com/programming/@deeplearning/nlp-tasks-and-references</link><guid isPermaLink="true">http://direct.ecency.com/programming/@deeplearning/nlp-tasks-and-references</guid><category><![CDATA[programming]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Fri, 20 Oct 2017 05:04:06 GMT</pubDate></item><item><title><![CDATA[Free books for Machine Learning]]></title><description><![CDATA[Free books: Mining of Massive Datasets An Introduction to Statistical Learning (with applications in R) Deep Learning Bayesian methods for hackers Understanding Machine Learning: From Theory to Algorithms]]></description><link>http://direct.ecency.com/programming/@deeplearning/free-books-for-machine-learning</link><guid isPermaLink="true">http://direct.ecency.com/programming/@deeplearning/free-books-for-machine-learning</guid><category><![CDATA[programming]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Sun, 15 Oct 2017 20:49:57 GMT</pubDate></item><item><title><![CDATA[Notes on Machine Learning & Artificial Intelligence]]></title><description><![CDATA[Notes contains such topics as: Machine Learning Deep Learning Python Statistics Cloud computing Javacript SQL Scala Regex Mathematics Algorithms ​]]></description><link>http://direct.ecency.com/programming/@deeplearning/notes-on-machine-learning-and-artificial-intelligence</link><guid isPermaLink="true">http://direct.ecency.com/programming/@deeplearning/notes-on-machine-learning-and-artificial-intelligence</guid><category><![CDATA[programming]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Sun, 15 Oct 2017 16:25:12 GMT</pubDate></item><item><title><![CDATA[Deep learning resources]]></title><description><![CDATA[​ List contains: online courses books articles libraries datasets math theory papers YT channels / videos]]></description><link>http://direct.ecency.com/programming/@deeplearning/deep-learning-resources</link><guid isPermaLink="true">http://direct.ecency.com/programming/@deeplearning/deep-learning-resources</guid><category><![CDATA[programming]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Sun, 15 Oct 2017 09:39:39 GMT</pubDate></item><item><title><![CDATA[List of machine learning courses - ranked by reviews]]></title><description><![CDATA[Top courses from list: Machine Learning (Stanford University via Coursera) Machine Learning (Columbia University via edX) [Machine Learning A-Z™: Hands-On Python & R In Data Science]( _]]></description><link>http://direct.ecency.com/programming/@deeplearning/list-of-machine-learning-courses-ranked-by-reviews</link><guid isPermaLink="true">http://direct.ecency.com/programming/@deeplearning/list-of-machine-learning-courses-ranked-by-reviews</guid><category><![CDATA[programming]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Sat, 14 Oct 2017 20:43:18 GMT</pubDate></item><item><title><![CDATA[Machine learning cheat sheets]]></title><description><![CDATA[Great cheat sheets for: Machine Learning / Deep Learning frameworks (Tensorflow, Keras, Scikit-learn) Python numerical / scientific libraries (numpy, scipy, pandas) Plot libraries (Matplotlib - python,]]></description><link>http://direct.ecency.com/programming/@deeplearning/machine-learning-cheat-sheets</link><guid isPermaLink="true">http://direct.ecency.com/programming/@deeplearning/machine-learning-cheat-sheets</guid><category><![CDATA[programming]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Sat, 14 Oct 2017 09:55:15 GMT</pubDate></item><item><title><![CDATA[OpenAI: Competitive Self-Play]]></title><description><![CDATA[​ OpenAI set up competitions between 3D robots. Each robot has a goal (push the other robot, go to other side, kick the ball). The robots learn behaviors like tackling, ducking, faking, kicking and catching,]]></description><link>http://direct.ecency.com/deep-learning/@deeplearning/openai-competitive-self-play</link><guid isPermaLink="true">http://direct.ecency.com/deep-learning/@deeplearning/openai-competitive-self-play</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[deeplearning]]></dc:creator><pubDate>Thu, 12 Oct 2017 17:06:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45e7s8PWsNqKZcruWLys6m6QBiDFR3CsQqUp6?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>