GANs in Action

This book PDF is perfect for those who love Computers genre, written by Vladimir Bok and published by Simon and Schuster which was released on 09 September 2019 with total hardcover pages 367. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related GANs in Action books below.

GANs in Action
GANs in Action
Author : Vladimir Bok
File Size : 48,9 Mb
Publisher : Simon and Schuster
Language : English
Release Date : 09 September 2019
ISBN : 9781638354239
Pages : 367 pages
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GANs in Action by Vladimir Bok Book PDF Summary

Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

GANs in Action

GANs in Action by Vladimir Bok,Jakub Langr

Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one

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Global Action Networks

Global Action Networks by Steve Waddell

The world's governments are overwhelmed with climate change, war and unrest, the global financial crisis and poverty but there is a promising invention in Global Action Networks (GANs). GANs mobilize resources, bridge divides and promote the long-term deep change and innovation work that is needed to address the global challenges.

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Generative Adversarial Networks Cookbook

Generative Adversarial Networks Cookbook by Josh Kalin

Simplify next-generation deep learning by implementing powerful generative models using Python, TensorFlow and Keras Key FeaturesUnderstand the common architecture of different types of GANsTrain, optimize, and deploy GAN applications using TensorFlow and KerasBuild generative models with real-world data sets, including 2D and 3D dataBook Description Developing Generative Adversarial Networks (GANs)

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Generative Deep Learning

Generative Deep Learning by David Foster

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples

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Hands On Generative Adversarial Networks with PyTorch 1 x

Hands On Generative Adversarial Networks with PyTorch 1 x by John Hany,Greg Walters

Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models Key FeaturesImplement GAN architectures to generate images, text, audio, 3D models, and moreUnderstand how GANs work and become an active contributor in the open source communityLearn how to generate photo-realistic images based on text

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Deep Learning with PyTorch

Deep Learning with PyTorch by Luca Pietro Giovanni Antiga,Eli Stevens,Thomas Viehmann

“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way

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Generative Adversarial Networks Projects

Generative Adversarial Networks Projects by Kailash Ahirwar

Explore various Generative Adversarial Network architectures using the Python ecosystem Key FeaturesUse different datasets to build advanced projects in the Generative Adversarial Network domainImplement projects ranging from generating 3D shapes to a face aging applicationExplore the power of GANs to contribute in open source research and projectsBook Description Generative Adversarial

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Hands On Image Generation with TensorFlow by Soon Yau Cheong

Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch Key FeaturesUnderstand the different architectures for image generation, including autoencoders and GANsBuild models that can edit an image of your face, turn photos into paintings, and generate photorealistic imagesDiscover how you can build

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