- python 3.5.2
- Pytorch (http://pytorch.org/)
- Numpy
- matplotlib
- Pytorch Tensor Basics
- Variable and Automatic Gradient Calculation
- Linear Regression Example (Loss & Optimizer)
- MNIST CNN (cpu & gpu)
- Input Pipeline & Pretrained Model
- Autoencoder & Model Save
- Denoising Autoencoder
- Simple Character RNN
- Vanilla GAN (Layer naming & Multi gpu)
- InfoGAN using Least Squares loss
- Image Style Transfer using ResNet
- Semantic Segmentation (U-Net & Fusion-Net)