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You're reading from  Hands-On Generative Adversarial Networks with Keras

Product typeBook
Published inMay 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789538205
Edition1st Edition
Languages
Python
Tools
Keras
Concepts
Neural Networks
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Author (1)
Rafael Valle
Rafael Valle
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Rafael Valle

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 Masters degree in Computer Music from the MH-Stuttgart in Germany and a Bachelors degree in Orchestral Conducting from UFRJ in Brazil.
Read more about Rafael Valle

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Deep learning environment setup

In this section, we will provide instructions on how to set up a Python deep learning programming environment that will be used throughout the book. We will start with Anaconda, which makes package management and deployment easy, and NVIDIA's CUDA Toolkit and cuDNN, which make training and inference in deep learning models quick. There are several compute cloud services, like Amazon Web Services (AWS), that provide ready to use deep learning environments with NVIDIA GPUs.

Installing Anaconda and Python

Anaconda is a free and open source efficient distribution that provides easy package management and deployment for the programming languages R and Python. Anaconda focuses on data science...

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Hands-On Generative Adversarial Networks with Keras
Published in: May 2019Publisher: PacktISBN-13: 9781789538205
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Rafael Valle

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 Masters degree in Computer Music from the MH-Stuttgart in Germany and a Bachelors degree in Orchestral Conducting from UFRJ in Brazil.
Read more about Rafael Valle

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