Hands-On Generative Adversarial Networks with Keras
Your guide to implementing next-generation generative adversarial networks
Author: Rafael Valle, Published on 03-May-2019, Language: English
Rafael Valle is a research scientist at NVIDIA focusing on audio applications. He has years of experience developing high performance machine learning models for data/audio analysis, synthesis and machine improvisation with formal specifications. Dr. Valle was the first to generate speech samples from scratch with GANs and to show that simple yet efficient techniques can be used to identify GAN samples. He holds an Interdisciplinary PhD in Machine Listening and Improvisation from UC Berkeley, a Master’s degree in Computer Music from the MH-Stuttgart in Germany and a Bachelor’s degree in Orchestral Conducting from UFRJ in Brazil.