Li-xp/cs231n

CS231n Convolutional Neural Networks for Visual Recognition (winter 2016) - Assignments

“用于视觉识别的卷积神经网络”笔记

简介

作者：子实

CS231n Convolutional Neural Networks for Visual Recognition 作业，使用 jupyter notebook 完成。

Github 加载 .ipynb 的速度较慢，建议在 Nbviewer 中查看。

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目录

来自斯坦福网络课程“CS231n Convolutional Neural Networks for Visual Recognition”的作业：

• 原文笔记：CS231n: Convolutional Neural Networks for Visual Recognition
• 授课视频：CS231n Winter 2016

1. Assignment 1

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

2. Assignment 2

• Fully-connected Neural Network
• Batch Normalization
• Dropout
• ConvNet on CIFAR-10

3. Assignment 3

• Image Captioning with Vanilla RNNs
• Image Captioning with LSTMs
• Image Gradients: Saliency maps and Fooling Images
• Image Generation: Classes, Inversion, DeepDream