Daniel8hen / CS231n

Stanford Deep Learning Course - CS231n

CS231n (The Israeli version - by MDLI community)

My implementation for Stanford's CS231n Deep Learning Course assignments, conducted by the Israeli MDLI community (April, 2020)

Content:

• Assignment 1 - K-Nearest Neighbours, SVM, Softmax, Two-layer NN
• Assignment 2 - Neural Networks, Batch Normalization, Backpropogation, Dropout, CNN, PyTorch intro
• Assignment 3 - RNN, LSTM, Saliency Maps, Fooling Images, Visualizations, Style Transfer, GANs

Feel free to reach out with any questions you have.