TEACHING

Artificial Neural Networks

Introduction (see colab notebook):

  • Feedforward neural networks
  • Cost functions
  • Backpropagation
  • Optimisation (stochastic gradient descent…)
  • Analysis

Convolutional Neural Networks (see colab notebook):

  • Local receptive fields
  • Shared weights
  • Pooling