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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