cs231n

In this repository you can find my solutions for the cs231n Spring 2017 provided by stanford Vision Lab. I thought it might be helpful for you and share here.

If you have any questions ,you can contact me with email.I will be happy to share my thoughts with you ：）

Convolution Neural Network for Visual Recognition

Home Pages: http://cs231n.stanford.edu

Course Notes: http://cs231n.github.io

Course Videos ( Spring 2017 ): YouTube Link

assignment1

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

assignment2

• Fully-connected Neural Network
• Batch Normalization
• Dropout
• Convolutional Networks
• PyTorch on CIFAR-10

assignment3

• Image Captioning with Vanilla RNNs
• Image Captioning with LSTMs
• Network Visualization: Saliency maps, Class Visualization, and Fooling Images
• Style Transfer
• Generative Adversarial Network