DeepLearning

Deep Learning is an IIIS course taught by Will Wu.

Repository layout

1. Homework 1: Backpropagation.

2. Homework 2: CIFAR-10 classification.

3. Homework 3: Generative models, including energy-based model, normalizing flow (real NVP), VAE and GAN.

4. Homework 4: Sequence modeling. LSTM and Transformer for both Seq2seq and language model, along with a reading comprehension task.

Attention!

The codes in this repository is not guaranteed to be correct or to perform well. They are for your reference only.

Course project resides in a stand-alone repository: https://github.com/zhourunlong/GodScanner.