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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 |