Course Notes
The notes written by students and edited by instructors
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Lecture 14
Midterm Review
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Lecture 13
Convolutional Neural Networks
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Lecture 12
Improving Optimization
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Lecture 11
Normalization / Initialization
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Lecture 10
Regularization and Generalization
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Lecture 09
Multilayer Perceptrons & Backpropagation
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Lecture 08
(Multinomial) Logistic Regression
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Lecture 07
Cluster and cloud computing resources
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Lecture 06
Automatic Differentiation with PyTorch
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Lecture 05
Fitting Neurons with Gradient Descent