# cs231n

**Repository Path**: moilk/cs231n

## Basic Information

- **Project Name**: cs231n
- **Description**: No description available
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-11-12
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CS231n 作业

本项目用于保存 [Moilk](https://gitee.com/moilk) 个人 CS231n 作业。

CS231n 是[斯坦福大学计算机视觉实验室](http://vision.stanford.edu/index.html)李飞飞团队推出的《**面向视觉识别的卷积神经网络**》课程。

课程主页：[CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)

## Spring 2019 作业完成进度

### [作业 #1](http://cs231n.github.io/assignments2019/assignment1/)

- [x] kNN 分类器：[knn.ipynb](assignment1/knn.ipynb)
- [ ] 训练支持向量机：[svm.ipynb](assignment1/svm.ipynb)
- [ ] 实现一个 Softmax 分类器：[softmax.ipynb](assignment1/softmax.ipynb)
- [ ] 两层神经网络：[two_layer_net.ipynb](assignment1/two_layer_net.ipynb)
- [ ] 高级表示：图像特征：[features.ipynb](assignment1/features.ipynb)

### [作业 #2](http://cs231n.github.io/assignments2019/assignment2/)

- [ ] 全连接神经网络：[FullyConnectedNets.ipynb](assignment2/FullyConnectedNets.ipynb)
- [ ] 批量归一化：[BatchNormalization.ipynb](assignment2/BatchNormalization.ipynb)
- [ ] Dropout：[Dropout.ipynb](assignment2/Dropout.ipynb)
- [ ] 卷积网络：[ConvolutionalNetworks.ipynb](assignment2/ConvolutionalNetworks.ipynb)
- [ ] 在 CIFAR-10 上使用 PyTorch / TensorFlow：[PyTorch.ipynb](assignment2/PyTorch.ipynb) 或 [TensorFlow.ipynb](assignment2/TensorFlow.ipynb)

### 作业 #3

- [ ] 使用 Vanilla RNNs 实现图像字幕：[RNN_Captioning.ipynb](assignment3/RNN_Captioning.ipynb)
- [ ] 使用 LSTMs 实现图像字幕：[LSTM_Captioning.ipynb](assignment3/LSTM_Captioning.ipynb)
- [ ] 网络可视化： Saliency maps、Class Visualization 和 Fooling Images：[NetworkVisualization-TensorFlow.ipynb](assignment3/NetworkVisualization-TensorFlow.ipynb) 或 [NetworkVisualization-PyTorch.ipynb](assignment3/NetworkVisualization-PyTorch.ipynb)
- [ ] 风格迁移：[StyleTransfer-TensorFlow.ipynb](assignment3/StyleTransfer-TensorFlow.ipynb) 或 [StyleTransfer-PyTorch.ipynb](assignment3/StyleTransfer-PyTorch.ipynb)
- [ ] 生成对抗网络：[GANS-TensorFlow.ipynb](assignment3/GANS-TensorFlow.ipynb) 或 [GANS-PyTorch.ipynb](assignment3/GANS-PyTorch.ipynb)

-------------------------------

## 官方笔记翻译（2016版）

- [总集篇](https://zhuanlan.zhihu.com/p/21930884)

### 课程知识

- [Python Numpy教程](https://zhuanlan.zhihu.com/p/20878530) | [原文](http://cs231n.github.io/python-numpy-tutorial/)
- 图像分类[上](https://zhuanlan.zhihu.com/p/20894041)、[下](https://zhuanlan.zhihu.com/p/20900216) | [原文](http://cs231n.github.io/classification/)
- 线性分类：[上](https://zhuanlan.zhihu.com/p/20918580)、[中](https://zhuanlan.zhihu.com/p/20945670)、[下](https://zhuanlan.zhihu.com/p/21102293) | [原文](http://cs231n.github.io/linear-classify/)
- 最优化[上](https://zhuanlan.zhihu.com/p/21360434)、[下](https://zhuanlan.zhihu.com/p/21387326) | [原文](http://cs231n.github.io/optimization-1/)
- [反向传播](https://zhuanlan.zhihu.com/p/21407711) | [原文](http://cs231n.github.io/optimization-2/)
- 神经网络 （1：[上](https://zhuanlan.zhihu.com/p/21462488)、[下](https://zhuanlan.zhihu.com/p/21513367) | [原文](http://cs231n.github.io/neural-networks-1/)）、（[2](https://zhuanlan.zhihu.com/p/21560667) | [原文](http://cs231n.github.io/neural-networks-2/)）、（3：[上](https://zhuanlan.zhihu.com/p/21741716)、[下](https://zhuanlan.zhihu.com/p/21798784) | [原文](http://cs231n.github.io/neural-networks-3/)）
- [Putting it together: Minimal Neural Network Case Study](http://cs231n.github.io/neural-networks-case-study/)
- [卷积神经网络](https://zhuanlan.zhihu.com/p/22038289) | [原文](http://cs231n.github.io/convolutional-networks/)
- [Understanding and Visualizing Convolutional Neural Networks](http://cs231n.github.io/understanding-cnn/)
- [Transfer Learning and Fine-tuning Convolutional Neural Networks](http://cs231n.github.io/transfer-learning/)

### 课程作业

- [作业 1 简介](https://zhuanlan.zhihu.com/p/21441838) | [原文](http://cs231n.github.io/assignments2019/assignment1/)

- [作业 2 简介](https://zhuanlan.zhihu.com/p/21941485) | [原文](http://cs231n.github.io/assignments2019/assignment2/)

- [作业 3 简介](https://zhuanlan.zhihu.com/p/21946525) | [原文](http://cs231n.github.io/assignments2019/assignment3/)