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Module 0: Preparation |
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Setup Instructions |
Python / Numpy Tutorial (with Jupyter and Colab) |
Jupyter Notebook Tutorial |
Derivatives, Backpropagation, and Vectorization (Justin Johnson) |
Module 1: Linear Classifiers |
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Linear Classifiers using Softmax |
Perceptron |
Support Vector Machines |
Module 2: Neural Network |
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Fully-Connected Neural Networks |
Avtivation Functions |
Batch Normalization |