CS 5043: Lecture Notes

• January 14: Course introduction (PDF)

• January 28: Deep Learning on the OSCER Supercomputer (PDF)

• February 11-13: Cross-Validation (PDF)

• February 13-18: Convolutional Neural Networks background (PDF)

• February 25: Large models and datasets: GPUs and TF Datasets (PDF)
• March 6: Keras Model API (PDF)

• April 3-11: Temporal Architectures (PDF)

• April 8: Tensor Notes (PDF)

• April 17-23: Diffusion Models (PDF)

• April 25-30: Generative Adversarial Networks (PDF)

• April 30-May 1: Normalizing Flows (PDF)

• May 1: Final Thoughts (PDF)

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Last modified: Thu May 1 14:09:57 2025