CS 7643 Deep Learning

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Georgia Tech OMSCS CS 7643

Deep neural networks from first principles to modern architectures.

Practice in the Flight Lab: One gradient · Output width

Prerequisites

Linear algebra, calculus, probability, Python; ML background recommended.

Subareas

Backpropagation & optimizationConvolutional neural networksRNNs/LSTMs & sequence modelsAttention & TransformersDeep generative modelsPyTorch implementation

Main topics / syllabus areas

Backpropagation & optimization
Convolutional neural networks
RNNs/LSTMs & sequence models
Attention & Transformers
Deep generative models
PyTorch implementation

Resources

OMSCS course page ↗omscs.gatech.edu
OMSCentral reviews ↗omscentral.com
Deep Learning (Goodfellow et al.) ↗deeplearningbook.org
Stanford CS231n notes ↗cs231n.github.io
PyTorch tutorials ↗pytorch.org