2015-04-25

[cs231n]Convolutional Neural Networks: Architectures, Convolution / Pooling Layers

2015-04-25

[cs231n]Putting it together: Minimal Neural Network Case Study

2015-04-22

[cs231n]Neural Networks Part 3: Learning and Evaluation

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