Sebastian Raschka, 2015
Python Machine Learning - Code Examples
- 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