COMP4901J: Deep Learning in Computer Vision (a HKUST course). The assignments (except assignment 4) is heavily copied or adapted from Stanford's CS231n (Convolutional Neural Networks for Visual Recognition).
- 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
- Q1: Fully-connected Neural Network
- Q2: Batch Normalization
- Q3: Dropout
- Q4: Convolutional Networks
- Q5: PyTorch / TensorFlow on CIFAR-10