nicolas-hbt / CS231n

CS231n : Convolutional Neural Networks for Visual Recognition [Spring 2020]

CS231n : Convolutional Neural Networks for Visual Recognition [Stanford, Spring 2020]

Link : http://cs231n.stanford.edu/syllabus.html

Assignment 1:

• NB1: k-Nearest Neighbor classifier. (Done)
• NB2: Training a Support Vector Machine. (Done)
• NB3: Implement a Softmax classifier. (Done)
• NB4: Two-Layer Neural Network. (Done)
• NB5: Higher Level Representations: Image Features. (Done)

Assignment 2:

• NB1: Fully-connected Neural Network. (Done)
• NB2: Batch Normalization. (Done)
• NB3: Dropout. (Done)
• NB4: Convolutional Networks. (Done)
• NB5: PyTorch on CIFAR-10. (Done)

Assignment 3:

• NB1: Image Captioning with Vanilla RNNs. (Done)
• NB2: Image Captioning with LSTMs. (Done)
• NB3: Network Visualization with PyTorch. (TO DO)
• NB4: Style Transfer with PyTorch. (Done)
• NB5: Generative Adversarial Networks with PyTorch. (Done)