Everything from 101 Linear and Logistic Regression, to Neural Networks on Google TensorFlow, to GAN's on PyTorch
My notebooks (moved to wiki)
- Udacity course
- Old Andrew Ng class using Octave (free)
- Latest Deeplearning.ai course
- popular course fast.ai
Vanilla GANs found in this project were developed based on the original paper Generative Adversarial Networks by Goodfellow et al.
These are trained on the MNIST dataset, and learn to create hand-written digit images using a 1-Dimensional vector representation for 2D input images.