CS 5043: Lecture Notes

• January 18: Course introduction (PDF)

• February 1: Deep Learning on the OSCER Supercomputer (PDF)

• February 15: Cross-Validation (PDF)

• February 20-27: Convolutional Neural Networks background (PDF)

• February 29: Homework 3 background (PDF)

• February 29: Large models and datasets: GPUs and TF Datasets (PDF)

• March 5: Keras Model API (PDF)

• March 14-April 4: Temporal Architectures (PDF)

• April 9-16: Generative Adversarial Networks (PDF)

• April 18-25: Normalizing Flows(PDF)

• April 23-25: Diffusion Models(PDF)

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Last modified: Tue Apr 23 23:58:17 2024