# cs231n

**Repository Path**: wangxiaohao93/cs231n

## Basic Information

- **Project Name**: cs231n
- **Description**: cs231n Convolution Neural Network for Visual Recognition Spring 2017 Assignments   
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-11-28
- **Last Updated**: 2021-11-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# cs231n

In this repository you can find my solutions for the [cs231n Spring 2017](http://cs231n.stanford.edu/) provided by [stanford Vision Lab](http://vision.stanford.edu/). 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](http://cs231n.stanford.edu/)

Course Notes:  [http://cs231n.github.io](http://cs231n.github.io/)

Course Videos ( Spring 2017 ):  [YouTube Link](https://www.youtube.com/watch?v=vT1JzLTH4G4&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)

### [assignment1](https://github.com/quinwu/cs231n/tree/master/assignment1)

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

### [assignment2](https://github.com/quinwu/cs231n/tree/master/assignment2)

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

### [assignment3](https://github.com/quinwu/cs231n/tree/master/assignment3)

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