cs231n: Convolutional Neural Networks for Visual Recognition
Spring 2017 Assignments
Course Website
Assignments 1:
- Q1: k-Nearest Neighbor classifier
--completed - Q2: Training a Support Vector Machine
--completed - Q3: Implement a Softmax classifier
--complete - Q4: Two-Layer Neural Network
--completed - Q5: Higher Level Representations: Image Features
--completed - Q5: Cool Bonus: Do something extra!
--not yet
Assignment 2:
- Q1: Fully-connected Neural Network
--completed - Q2: Batch Normalization
--completed - Q3: Dropout
--completed - Q4: Convolutional Networks
--completed - Q5: PyTorch / TensorFlow on CIFAR-10
-complete TensorFlow - Q5: Do something extra!
--not yet
Assignments 3:
- Q1: Image Captioning with Vanilla RNNs
-completed - Q2: Image Captioning with LSTMs
--completed - Q3: Network Visualization: Saliency maps, Class Visualization, and Fooling Images
--completed - Q4: Style Transfer
--completed - Q5: Generative Adversarial Networks
--completed