Time and Location:
Monday 11:30-12:50pm, Hewlett 102
Event | Date | Description | Materials and Assignments |
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Lecture 1 | 9/25 | Introduction
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Handouts |
Lecture 2 | 10/02 |
Advanced Lecture: The mathematics of backpropagation
Completed modules
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Quizzes (due at 9am):
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Lecture 3 | 10/09 |
Advanced Lecture: Overview of various deep learning topics
Completed modules
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Quizzes (due at 9am):
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Lecture 4 | 10/16 |
Advanced Lecture: Mathematics behind Regularization and Initialization
Completed modules
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Quizzes (due at 9am):
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Lecture 5 | 10/23 |
Advanced Lecture: Advanced topics in Object Detection
Completed modules
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Quizzes (due at 9am):
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Lecture 6 | 10/30 |
Advanced Lecture: Deep Reinforcement Learning
Completed modules
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Quizzes (due at 9am):
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Lecture 7 | 11/06 |
Advanced Lecture: Overview of Recurrent Neural Network
Completed modules
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Quizzes (due at 9am +1 extra day offered):
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Lecture 8 | 11/13 |
Advanced Lecture: Attention models
Completed modules
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Quizzes (due at 9am):
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Thanksgiving break | 11/17 | Project Week | Project Milestone (due at 11:59pm): [more info] |
Lecture 9 | 11/27 |
Guest lecture: AI for healthcare, Pranav Rajpurkar
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Lecture 10 | 12/04 |
Advance Lecture BLUE score, Beam Search and Speech Recognition with CTC loss
Completed modules
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Programming Assignments (due at Tuesday 12/05 5pm):
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Final Presentations | 12/11 | Hewlett102, 8:30-11:30am Monday 12/11 | |
Final Project | 12/12 | Readings | Submit Final Project (due at 11:59pm, no late day): [more info]
Programming Assignments (due at Tuesday 12/12 11:59pm):
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