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Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

How to build GANs using Python

To illustrate the implementation of a GAN using Python, we use the Deep Convolutional GAN (DCGAN) example discussed precedingly to synthesize images from the fashion MNIST dataset. See the deep_convolutional_generative_adversarial_network notebook for implementation details and references.

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Publisher Resources

ISBN: 9781789346411Supplemental Content