CSE 4095/5095
Deep Learning
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(Tentative schedule for the course and deviations may be necessary as the course progresses.)
Date |
Topic |
Notes |
Reading (Textbook or Other Materials) |
Jan. 21 |
Introduction |
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Chapter 1, 2, 3, Nature review on DL, Basic calculus refresher |
Jan. 23 |
Machine Learning Basics |
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Chapter 4, 5, Machine learning math essentials |
Jan. 28 |
Shallow Classifiers |
Project Details |
Chapter 4, 5 |
Jan. 30 |
Loss Functions |
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Chapter 4, 5 |
Feb. 4 |
Optimization, SGD |
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Chapter 4, 5 |
Feb. 11 |
Backpropagation |
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Chapter 4, 5 |
Feb. 13 |
Intro to Neural Networks |
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Feb. 18 |
Intro to Convolutional Neural Networks, Convolution |
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AlexNet |
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