MakeYourOwnNeuralNetwork

Table of Contents Prologue The Search for Intelligent Machines A Nature Inspired New Golden Age Introduction Who is this book for? What will we do? How will we do it? Author's Note Part 1 - How They Work Easy for Me, Hard for You A Simple Predicting Machine Classifying is Not Very Different from Predicting Training A Simple Classifier Sometimes One Classifier Is Not Enough Neurons, Nature’s Computing Machines Following Signals Through A Neural Network Matrix Multiplication is Useful .. Honest! A Three Layer Example with Matrix Multiplication Learning Weights From More Than One Node Backpropagating Errors From More Output Nodes Backpropagating Errors To More Layers Backpropagating Errors with Matrix Multiplication How Do We Actually Update Weights? Weight Update Worked Example Preparing Data Part 2 - DIY with Python Python Interactive Python = IPython A Very Gentle Start with Python Neural Network with Python The MNIST Dataset of Handwritten Numbers Part 3 - Even More Fun Your Own Handwriting Inside the Mind of a Neural Network Creating New Training Data: Rotations Epilogue Appendix A: A Gentle Introduction to Calculus A Flat Line......