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