Contains HW assignment for Stanford CS231n Convolutional Neural Networks for Visual Recognition and UvaCS4501 Special Topics in CS: Computer vision

Implement K nearest neighbor, SVM, SoftMax, two-layer network.

Implement batchnorm, relu, dropout and maxpool

Implement DCGAN, style transfer, and LSTM captioning

Introduction to numpy

Canny edge detector, Harris corner detector, SIFT descriptor

Dense Stereo: disparity map, depth recovery, texture mapping

Implement KNN and Softmax classifier

Convolutional neural nets: train a self-desigand model on CIFAR 10 and a custom dataset. Finetune Resnet50 on MSCOCO dataset.