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Re: Transformative functions...?by Cow1337killr (Monk) |
on Feb 14, 2017 at 21:40 UTC ( [id://1182008]=note: print w/replies, xml ) | Need Help?? |
"If I have seen further it is by standing on the shoulders of giants." Welcome to 2017, Sir Isaac. Neural network tutorialshttp://deeplearning.net/tutorial/deeplearning.pdf entitled Deep Learning Tutorial by LISA lab, University of Montreal from from https://jmozah.github.io/links/ entitled Deep learning Reading List Neural network codeneural network code learn - Google Search http://iamtrask.github.io/2015/07/12/basic-python-network/ entitled A Neural Network in 11 lines of Python (Part 1) - i am trask https://www.codeproject.com/Articles/16419/AI-Neural-Network-for-beginners-Part-of entitled AI : Neural Network for beginners (Part 1 of 3) - CodeProject Neural networkshttp://neuralnetworksanddeeplearning.com/ entitled Neural Networks and Deep Learning Quote: Neural Networks and Deep Learning is a free online book. from neural network reading list - Google Search Tensorflowhttps://www.wired.com/2015/11/google-open-sources-its-artificial-intelligence-engine/ entitled Google Just Open Sourced TensorFlow, Its Artificial Intelligence Engine | WIRED site:en.wikipedia.org TensorFlow - Google Search https://www.oreilly.com/learning/hello-tensorflow entitled Hello, TensorFlow! - O'Reilly Media http://www.kdnuggets.com/2015/11/google-tensorflow-deep-learning-disappoints.html entitled TensorFlow Disappoints – Google Deep Learning falls shallow from tensorflow - Google Search, page 2 Tensorflow exampleshttps://github.com/tensorflow/models/tree/master/syntaxnet entitled models/syntaxnet at master · tensorflow/models · GitHub Quote: We are excited to share the fruits of our research with the broader community by releasing SyntaxNet, an open-source neural network framework for TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. from https://www.oreilly.com/ideas/four-short-links-13-may-2016 entitled Four short links: 13 May 2016 by Nat Torkington Quote: 4.) SyntaxNet -- Google open sources a neural network framework for TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. Our release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser that we have trained for you, and that you can use to analyze English text. Tensorflow toolshttps://github.com/dementrock/tensorfuse entitled GitHub - dementrock/tensorfuse: Common interface for Theano, CGT, and TensorFlow Neural network framework comparisonshttp://www.kdnuggets.com/2015/12/tensor-flow-terrific-deep-learning-library.html entitled TensorFlow is Terrific – A Sober Take on Deep Learning Acceleration from tensorflow vs theano - Google Search, page 2 https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software https://deeplearning4j.org/compare-dl4j-torch7-pylearn entitled Deep Learning Comp Sheet: Deeplearning4j vs. Torch vs. Theano vs. Caffe vs. TensorFlow vs. MxNet vs. CNTK - Deeplearning4j: Open-source, Distributed Deep Learning for the JVM Oh. What is the Perl tie-in? There is no Perl tie-in, but there should be.
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