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Re: Transformative functions...?

by Cow1337killr (Monk)
on Feb 14, 2017 at 21:40 UTC ( #1182008=note: print w/replies, xml ) Need Help??


in reply to Transformative functions...?

"If I have seen further it is by standing on the shoulders of giants."

Welcome to 2017, Sir Isaac.

Neural network tutorials

http://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 code

neural 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 networks

http://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

Tensorflow

https://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 examples

https://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 tools

https://github.com/dementrock/tensorfuse entitled GitHub - dementrock/tensorfuse: Common interface for Theano, CGT, and TensorFlow

Neural network framework comparisons

http://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.

Replies are listed 'Best First'.
Re^2: Transformative functions...?
by Anonymous Monk on Mar 03, 2017 at 21:36 UTC
    Just plugging this in for you Cow1337killr, perl interface to mxnet was recently released to cpan, check out AI::MXNet

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