Generative Adversarial Networks

concepts · 8 notes linked

Related: Deep Learning · Generative Models · Pytorch · Github · Discrete Distributions · Cloudera · Anomaly Detection · Autoencoders

Notes

• Building a Simple Python-Based GAN in 5 minutes — Minimal PyTorch GAN with generator-discriminator adversarial training loop
• Building a simple Generative Adversarial Network (GAN) using TensorFlow | DigitalOcean — TensorFlow GAN tutorial with generator, discriminator, and feature visualization
• Deep Learning for Anomaly Detection — Applied research report on deep learning methods for anomaly detection
• Designed to Deceive: Do These People Look Real to You? (Published 2020) — GAN-generated fake faces misuse detection and societal risks
• Generative Adversarial Networks (d2l.ai) — GAN architecture as minimax game between generator and discriminator networks
• GitHub - rcamino/multi-categorical-gans: Code for the paper \"Generating Multi-Categorical Samples with Generative Adversarial Networks\ — PyTorch implementation of multi-categorical GAN sampling paper
• Neural Networks gone wild! They can sample from discrete distributions now! — Gumbel-softmax trick enables gradient flow through discrete sampling
• PyTorch-GAN vanilla GAN implementation — Reference PyTorch implementation of vanilla GAN on MNIST