- HW 1: Bayes Theorem, Min Error Rate Classifier, Application for Computer Vision (hw1.ipynb.zip) : Due: September 23, 2025
- HW 2: Multi-Layer Perceptron: (hw2.ipynb.zip): Due: October 9, 2025
- HW 3: A Deeper Multi-Class MLP (hw3.ipynb.zip): Due: October 21, 2025
- HW 4: Getting Deeper with Digits: LeNet (hw4.ipynb.zip): Due: October 30, 2025
- HW 5: Domain Transfer and Fine-Tuning (hw5.ipynb.zip): Due: November 11, 2025
- Project Proposal (project_proposal.zip): Due: October 28. 2025
- Project Report and Presentation (schedule for presentations): Due: TBA
- Regrading Requests: (regrading request template). Regrading requests can be made within one week of an assignment being returned. Regrading requests cannot be made for assignments that were handed in late. To request a regrade, please fill out the template in the link above, attend any TAs office hours, and present your request. Please note: the regrading TA may deduct more points than you originally received if omissions were made in the initial grading or if the initial grading was overly lenient.
Software Resources (all one Google search away...):
- Python
- Jupyter Notebook
- Pytorch
- Tensorflow
Background on Deep Learning:
- Deep Learning, Goodfellow, Bengio, and Courville
- Stanford Deep Learning Course (CS231n)
- Understanding LSTM Networks, Colah
- Yes, You Should Understand Backprop, Karpathy
- Tensorflow Tutorial
- Keras
Background on Old-School Computer Vision:
- Computer Vision: A Modern Approach, Forsyth and Ponce
- Computer Vision: Algorithms and Applications, Richard Szeliski
- Receptive Fields, Binocular Interaction, and Functional Architecture in the Cat's Visual Cortex, Hubel and Wiesel, 1962
- Hubel and Weisel, Cat Experiments Video
- MIT Summer Vision Project, Papert, 1966
- Vision, Marr, 19
- Computer Vision, Ballard and Brown, 1982
- Robot Vision, Horn, 1985
- Pattern Classification, Duda, Hart, and Stork
- Pegasos: Primal Estimated sub-Gradient Solver for SVM, Shalev-Shwartz et al.
Google Cloud :
GENERAL INSTRUCTIONS: TBA