ch12

Sebastian Raschka, 2015

Python Machine Learning - Code Examples

Chapter 12 - Training Artificial Neural Networks for Image

Modeling complex functions with artificial neural networks
- Single-layer neural network recap
- Introducing the multi-layer neural network architecture
- Activating a neural network via forward propagation
Classifying handwritten digits
- Obtaining the MNIST dataset
- Implementing a multi-layer perceptron
Training an artificial neural network
- Computing the logistic cost function
- Training neural networks via backpropagation
Developing your intuition for backpropagation
Debugging neural networks with gradient checking
Convergence in neural networks
Other neural network architectures
- Convolutional Neural Networks
- Recurrent Neural Networks
A few last words about neural network implementation
Summary