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Introduction
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Classroom Contents
How to Create a Neural Network and Train It to Identify Doodles
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- 1 Introduction
- 2 The decision boundary
- 3 Weights
- 4 Biases
- 5 Hidden layers
- 6 Programming the network
- 7 Activation functions
- 8 Cost
- 9 Gradient descent example
- 10 The cost landscape
- 11 Programming gradient descent
- 12 It's learning! slowly
- 13 Calculus example
- 14 The chain rule
- 15 Some partial derivatives
- 16 Backpropagation
- 17 Digit recognition
- 18 Drawing our own digits
- 19 Fashion
- 20 Doodles
- 21 The final challenge
