|Think about Loose Coupling|
"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
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
http://neuralnetworksanddeeplearning.com/ entitled Neural Networks and Deep Learning
Quote: Neural Networks and Deep Learning is a free online book.
https://www.wired.com/2015/11/google-open-sources-its-artificial-intelligence-engine/ entitled Google Just Open Sourced TensorFlow, Its Artificial Intelligence Engine | WIRED
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
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.
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
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.