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ML crash course - Neural networks

Introduction

Nodes and hidden layers

Adding layers to the network

Activation functions

Common activation functions

Other activation functions

Summary

Training using backpropagation

Best practices for neural network training

Dropout Regularization

Interactive exercises

developers.google.com/machine-learning/crash-course/neural-networks/interactive-exercises

Multi-class classification

One versus all

One versus one (softmax)

What’s next

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