- Modeling complex functions with artificial neural networks
- Single-layer neural network recap
- Introducing the multilayer neural network architecture
- Activating a neural network via forward propagation
- Classifying handwritten digits
- Obtaining the MNIST dataset
- Implementing a multilayer perceptron
- Coding the neural network training loop
- Evaluating the neural network performance
- Training an artificial neural network
- Computing the loss function
- Developing your intuition for backpropagation
- Training neural networks via backpropagation
- About the convergence in neural networks
- A few last words about the neural network implementation
- Summary
Please refer to the README.md file in ../ch01 for more information about running the code examples.