I'm interested in learning about Neural Nets and I'd really like my instruction to be in Mathematica if possible.
For instance, a tutorial like this one: http://neuralnetworksanddeeplearning.com/chap1.html but using Mathematica instead of Python would be amazing. Does such a resource exist right now?
Since this question was posted many things have changed with Neural Networks. Please see the following key references below.
Neural Networks in the Wolfram Language - This is a main collection oof tutorials on almost all the basics you can do with Neural Network framework in the Wolfram Language
Neural Networks Guide - This is a collection of all functions relevant Neural Network and as usual every function page is a tutorial-like guide with many examples.
Wolfram Neural Net Repository - The Wolfram Neural Net Repository is a public resource that hosts an expanding collection of trained and untrained neural network models, suitable for immediate evaluation, training, visualization, transfer learning and more. Each net has a doc page dedicated to it with examples.
Machine Learning at Wolfram U - Extensive video courses and tutorials.
Q&A Mathematica v.11 Neural Networks: A comprehensive look at Layers, Net Functions, and pioneering into this [[experimental]] code - This is something that users of this forum started doing to comprehend growing Neural Networks functionality.
This video recording:
uses both R and Mathematica (WL). It should be a good introduction to the typical functionalities provided by Neural Network libraries, and related rules of thumb and techniques.
There is a dedicated GitHub repository: MathematicaVsR -- Deep Learning Examples.
