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Course materials and notes for Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.
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CS231n Convolutional Neural Networks for Visual Recognition CS231n Convolutional Neural Networks for Visual Recognition Course Website These notes accompany the Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition . For questions/concerns/bug reports, please submit a pull request directly to our git repo . Spring 2023 Assignments Assignment #1: Image Classification, kNN, SVM, Softmax, Fully Connected Neural Network Assignment #2: Fully Connected and Convolutional Nets, Batch Normalization, Dropout, Pytorch & Network Visualization Assignment #3: Network Visualization, Image Captioning with RNNs and Transformers, Generative Adversarial Networks, Self-Supervised Contrastive Learning Module 0: Preparation Software Setup Python / Numpy Tutorial (with Jupyter and Colab) Module 1: Neural Networks Image Classification: Data-driven Approach, k-Nearest Neighbor, train/val/test splits L1/L2 distances, hyperparam...
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