CPSY 1291 — Fall 2026

Lectures

• L00_welcome-reading
• L00_welcome
• L01_representations-spaces-metrics-reading
• L01_representations-spaces-metrics
• L02_mds-similarity-reading
• L02_mds-similarity
• L03_pca-eigendecomposition-reading
• L03_pca-eigendecomposition
• L04_tsne-umap-reading
• L04_tsne-umap
• L05_geometry-neural-representations-reading
• L05_geometry-neural-representations
• L06_reading-comparing-representations-reading
• L06_reading-comparing-representations
• L07_geometry-baselines-tests-reading
• L07_geometry-baselines-tests
• L08_learning-weights-backprop-reading
• L08_learning-weights-backprop
• L09_backprop-training-reading
• L09_backprop-training
• L10_generalization-reading
• L10_generalization

Recitations

• recitation-01-python-numpy
• recitation-02-vectors-to-pca
• recitation-03-matrices-fitting-knobs
• recitation-04-gradients-chain-rule
• recitation-05-pytorch-training-loop
• recitation-06-heldout-data-and-images
• recitation-07-midterm-review
• recitation-08-rsa-decoding-permutation
• recitation-09-hooks-gradients-saliency
• recitation-10-sequences-recurrence-dynamics
• recitation-11-attention-transformers-generative
• recitation-12-final-review
• recitation-13-project-clinic-i
• recitation-14-project-clinic-ii
• a1-programming-notes.pdf
• backprop-notes.pdf
• handout-03-matrices-fitting-knobs.pdf
• handout-04-gradients-chain-rule.pdf
• handout-05-pytorch-training-loop.pdf
• handout-06-heldout-data-and-images.pdf
• handout-07-midterm-review.pdf
• handout-08-rsa-decoding-permutation.pdf
• handout-09-hooks-gradients-saliency.pdf
• handout-10-sequences-recurrence-dynamics.pdf
• handout-11-attention-transformers-generative.pdf
• handout-12-final-review.pdf
• handout-13-project-clinic-i.pdf
• handout-14-project-clinic-ii.pdf
• linear-algebra-notes.pdf
• neuroscience-background-notes.pdf
• pca-statistics-notes.pdf
• perceptron-notes.pdf
• follow-along-01.ipynb (notebook: download, then File → Upload in Colab)
• follow-along-02.ipynb (notebook: download, then File → Upload in Colab)
• python-warmup.ipynb (notebook: download, then File → Upload in Colab)

Course

• Syllabus (PDF)
• Notation reference (PDF)
• Colab setup

Slides and notes © 2026 Thomas Serre, licensed under CC BY 4.0: you may reuse and adapt them with credit. Figures from published papers belong to their authors and publishers and are not covered by this license.