Implementation of famous models for self-study
- feedforward (MNIST)
- convolutional (MNIST)
- residual (MNIST)
- variational (MNIST, CIFAR)
- beta-variational (MNIST)
- convolutional with perceptual loss (MNIST)
- GAN (MNIST)
- DCGAN (MNIST)
[https://github.com/eriklindernoren/PyTorch-GAN] and [https://github.com/lyeoni/pytorch-mnist-GAN] were very helpful in understanding how the mathematics of GANs translated to code; as well as providing good initial hyperparameters and architectures