CS231n: Convolutional Neural Networks for Visual Recognition

英文版

CS231n: Convolutional Neural Networks for Visual Recognition

Module 1: Neural Networks

Image Classification: Data-driven Approach, k-Nearest Neighbor, train/val/test splits

Linear classification: Support Vector Machine, Softmax

Optimization: Stochastic Gradient Descent

Backpropagation, Intuitions

Neural Networks Part 1: Setting up the Architecture

Neural Networks Part 2: Setting up the Data and the Loss

Neural Networks Part 3: Learning and Evaluation

Putting it together: Minimal Neural Network Case Study

Module 2: Convolutional Neural Networks

Convolutional Neural Networks: Architectures, Convolution / Pooling Layers

Understanding and Visualizing Convolutional Neural Networks

Transfer Learning and Fine-tuning Convolutional Neural Networks

中文版

知乎专栏翻译：

https://zhuanlan.zhihu.com/p/21930884