CS231n Spring 2018 assignment

My assignment solutions of CS231n: Convolutional Neural Networks for Visual Recognition.

The related blog about assignments is here.

Assignment #1: Image Classification, kNN, SVM, Softmax, Neural Network

• Q1: k-Nearest Neighbor classifier
• Q2: Training a Support Vector Machine
• Q3: Implement a Softmax classifier
• Q4: Two-Layer Neural Network
• Q5: Higher Level Representations: Image Features

Assignment #2: Fully-Connected Nets, Batch Normalization, Dropout, Convolutional Nets

• Q1: Fully-connected Neural Network
• Q2: Batch Normalization
• Q3: Dropout
• Q4: Convolutional Networks
• Q5: PyTorch / TensorFlow on CIFAR-10

Assignment #3: Image Captioning with Vanilla RNNs, Image Captioning with LSTMs, Network Visualization, Style Transfer, Generative Adversarial Networks

• Q1: Image Captioning with Vanilla RNNs
• Q2: Image Captioning with LSTMs
• Q3: Network Visualization: Saliency maps, Class Visualization, and Fooling Images
• Q4: Style Transfer
• Q5: Generative Adversarial Networks