2015-04-21

[cs231n]Neural Networks Part 2: Setting up the Data and the Loss

2015-04-21

[cs231n]Neural Networks Part 1: Setting up the Architecture

2015-04-19

[CS231n]Assignment #1: Image Classification, kNN, SVM, Softmax

2015-04-19

Some common functions in Numpy and Scipy

2015-04-19

Ipython Notebook short tutorial

2015-04-19

[cs231n]Backpropagation, Intuitions

2015-04-19

[cs231n]Optimization: Stochastic Gradient Descent

2015-04-16

[cs231n]Linear classification: Support Vector Machine, Softmax

2015-04-16

[CS231n]Image Classification: Data-driven Approach, k-Nearest Neighbor, train/val/test splits

2015-04-16

Notes for <ImageNet Classification with Deep Convolutional Neural Networks>