CS231n : Deep Learning Lecture for Computer Vision

Stanford CS231n 2016 Assignment

Assignment1

Q1: k-Nearest Neighbor classifier (Completed)

Q2: Training a Support Vector Machine (Completed)

Q3: Implement a Softmax classifier (Completed)

Q4: Two-Layer Neural Network (Completed)

Q5: Higher Level Representations: Image Features (Completed)

Assignment2

Q1: Fully-connected Neural Network (Completed)

Q2: Batch Normalization (Completed)

Q3: Dropout (Completed)

Q4: ConvNet on CIFAR-10 (A Little Bit Left)

Assignment3

Q1: Image Captioning with Vanilla RNNs (Completed)

Q2: Image Captioning with LSTMs (Completed)

Q3: Image Gradients: Saliency maps and Fooling Images (Not Yet)

Q4: Image Generation: Classes, Inversion, DeepDream (Not Yet)