Core Architectures
A 16-module path through core architectures, in study order from foundations to the frontier.
Modules
- The Convolution Operation
- Convolutional Layers and Parameter Sharing
- Pooling Operations
- LeNet and the CNN Blueprint
- AlexNet and Deep CNNs
- Residual Connections and ResNet
- Recurrent Neural Networks
- Backpropagation Through Time
- LSTMs and GRUs
- Encoder-Decoder Architectures
- The Attention Mechanism
- Autoencoders
- Undercomplete and Regularized Autoencoders
- Embeddings and Representation Learning
- Message Passing on Graphs
- Graph Neural Networks: An Introduction