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TA Sections
Section will be held Skilling auditorium on Fridays 11:30-12:20pm. <br> <br> Sections are hourly seminars held every week by the course assistants on various topics in deep learning. The topics are split between practice and theory, and are subject to change as the quarter progresses.
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Section 1 (Week 1)
Getting Started with Your Project
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/section/1
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Section 2 (Week 2)
Understanding Gradient Descent and Backpropagation
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/section/2
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Section 3 (Week 3)
Implementation First Steps - Codebases, Baselines, and AWS
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/section/3
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Section 4 (Week 4)
Xavier Initialization and Regularization
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/section/4
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Section 5 (Week 5)
Midterm Review
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Section 6 (Week 6)
TensorFlow and PyTorch
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/section/6
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Section 7 (Week 7)
Debugging DL Projects
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/section/7
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Section 8 (Week 8)
Advanced Evaluation Metrics
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/section/8
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Section 9 (Week 9)
Writing Your Final Report
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