sp26-cs639 lecturecnnrnngnncs639
Lecture 4: Deep Learning II Lecture 4: Deep Learning II
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Convolutional Neural Networks
Motivation
2-D Convolution
Convolution Layers
Convolution NNs
Multiple Input Channels
Multiple Output Channels
Training a CNN
CNN Architectures: AlexNet
Evolution of CNNs
Data Augmentation
Sequence Models
Tasks We Can Handle with NNs
Simple RNNs
LSTMs
Transformers
Graph Models
Relationships in Data
Graph Neural Networks: Motivations
Graph Neural Networks: Approach
Convolution GNNs
Graph Convolutional Networks (GCNs)