{"id":621,"date":"2016-10-09T19:51:02","date_gmt":"2016-10-09T19:51:02","guid":{"rendered":"http:\/\/intelligentonlinetools.com\/blog\/?p=621"},"modified":"2017-12-29T18:34:17","modified_gmt":"2017-12-29T18:34:17","slug":"online-resources-for-neural-networks-with-python","status":"publish","type":"post","link":"https:\/\/intelligentonlinetools.com\/blog\/2016\/10\/09\/online-resources-for-neural-networks-with-python\/","title":{"rendered":"Online Resources for Neural Networks with Python"},"content":{"rendered":"

The neural network field enjoys now a resurgence of interest. New training techniques made training deep networks feasible. With deeper networks, more training data and powerful new hardware to make it all work, deep neural networks (or \u201cdeep learning\u201d systems) suddenly began making rapid progress in areas such as speech recognition, image classification and language translation. [1] <\/p>\n

As result of this there are many posts or websites over the web with the source code and tutorials for neural networks of different types and complexity. Starting from simple feedforward network with just one hidden layer the authors of blog posts or tutorials are helping us to understand how to build neural net (deep or shallow).<\/p>\n

To help to find needed python source code for neural network with desired features the website Neural Networks with Python on the Web <\/a> was created. <\/p>\n

Please feel free to add any comments, suggestions or advise the link to neural network web page (python source code) via the comments box on this page.<\/p>\n

References<\/strong>
\n1. Why artificial intelligence is enjoying a renaissance<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The neural network field enjoys now a resurgence of interest. New training techniques made training deep networks feasible. With deeper networks, more training data and powerful new hardware to make it all work, deep neural networks (or \u201cdeep learning\u201d systems) suddenly began making rapid progress in areas such as speech recognition, image classification and language … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":[]},"categories":[5,2,9],"tags":[],"jetpack_publicize_connections":[],"yoast_head":"\nOnline Resources for Neural Networks with Python - Machine Learning Applications<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/intelligentonlinetools.com\/blog\/2016\/10\/09\/online-resources-for-neural-networks-with-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Online Resources for Neural Networks with Python - Machine Learning Applications\" \/>\n<meta property=\"og:description\" content=\"The neural network field enjoys now a resurgence of interest. New training techniques made training deep networks feasible. With deeper networks, more training data and powerful new hardware to make it all work, deep neural networks (or \u201cdeep learning\u201d systems) suddenly began making rapid progress in areas such as speech recognition, image classification and language ... 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Many posts on the web are about applying convolutional neural networks for image classification as CNN is very useful type of neural networks for image classification. But convolutional neural networks can\u2026","rel":"","context":"In "Artificial Intelligence"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/intelligentonlinetools.com\/blog\/wp-content\/uploads\/2017\/05\/time-series-LSTM-300x164.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":2259,"url":"https:\/\/intelligentonlinetools.com\/blog\/2018\/09\/06\/artificial-intelligence-neural-networks-applications-seismic-prospecting\/","url_meta":{"origin":621,"position":1},"title":"Artificial Intelligence – Neural Networks Applications in Seismic Prospecting","date":"September 6, 2018","format":false,"excerpt":"TUSHAR website Introduction Large volumes of hydrocarbons remain to be found in the world. Finding and extracting these hydrocarbons is difficult and expensive. 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This problem can be viewed as resource allocation task. In this post we will use reinforcement learning python DQN (Deep Q-network) for the same\u2026","rel":"","context":"In "Python Scripts"","img":{"alt_text":"Planning Diagram","src":"https:\/\/i0.wp.com\/intelligentonlinetools.com\/blog\/wp-content\/uploads\/2018\/10\/RL_paths-e1541117896388.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":1446,"url":"https:\/\/intelligentonlinetools.com\/blog\/2017\/11\/06\/10-new-top-resources-on-machine-learning-from-around-the-web\/","url_meta":{"origin":621,"position":3},"title":"10 New Top Resources on Machine Learning from Around the Web","date":"November 6, 2017","format":false,"excerpt":"For this post I put new and most interesting machine learning resources that I recently found on the web. This is the list of useful resources in such areas like stock market forecasting, text mining, deep learning, neural networks and getting data from Twitter. Hope you enjoy the reading. 1.\u2026","rel":"","context":"In "Machine Learning"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":9,"url":"https:\/\/intelligentonlinetools.com\/blog\/2016\/01\/30\/general-regression-neural-networks\/","url_meta":{"origin":621,"position":4},"title":"General Regression Neural Networks","date":"January 30, 2016","format":false,"excerpt":"General Regression Neural Networks (GRNN) is one of the type of neural networks with a one pass learning algorithm. The simplicity of algorithm for GRNN is one of the advantage of this neural network and many researchers use it. 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