Deep Learning
Neural network concepts, representation learning, backpropagation, and modern deep learning foundations. 2 topics in this category.
intermediate
Autoencoders
From deterministic autoencoders to variational and vector-quantised models, and the gradient-estimation tricks (reparameterisation, Gumbel-Softmax, REINFORCE) that make them trainable.
intermediateNeural Networks
Multi-layer parametric function approximators trained via backpropagation.