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GANs in Action
- Deep Learning with Generative Adversarial Networks
- Narrado por: Julie Brierley
- Duración: 6 h y 23 m
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GANs in Action
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Resumen del Editor
GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.
About the Technology
GANs are an incredible AI technology capable of creating images, sound, and videos that are indistinguishable from the "real thing." By pitting two neural networks against each other - one to generate fakes and one to spot them - GANs rapidly learn to produce photo-realistic faces and other media objects. With the potential to produce stunningly realistic animations or shocking deepfakes, GANs are a huge step forward in deep learning systems.
About the Book
GANs in Action teaches you to build and train your own Generative Adversarial Networks. You'll start by creating simple generator and discriminator networks that are the foundation of GAN architecture. Then, following numerous hands-on examples, you'll train GANs to generate high-resolution images, image-to-image translation, and targeted data generation. Along the way, you'll find pro tips for making your system smart, effective, and fast.
What's Inside
- Building your first GAN
- Handling the progressive growing of GANs
- Practical applications of GANs
- Troubleshooting your system
About the Audience
For data professionals with intermediate Python skills, and the basics of deep learning-based image processing.
About the Authors
Jakub Langr is a computer vision cofounder at Founders Factory (YEPIC.AI). Vladimir Bok is a senior product manager overseeing machine learning infrastructure and research teams at a New York-based startup.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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1 out of 5 stars
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Audio Version has No Data.. Needs PDF
- De Xander L. en 04-03-23
De: Francois Chollet
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Deep Learning with PyTorch
- Build, Train, and Tune Neural Networks Using Python Tools
- De: Eli Stevens, Luca Antiga, Thomas Viehmann
- Narrado por: Mark Thomas
- Duración: 15 h y 26 m
- Versión completa
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General1 out of 5 stars 1
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Narración:3 out of 5 stars 1
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Historia1 out of 5 stars 1
There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
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1 out of 5 stars
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Absolutely not suitable for audio
- De Actionwatcher en 08-15-23
De: Eli Stevens, y otros
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Artificial Intelligence for Dummies
- De: John Mueller, Luca Massaron
- Narrado por: Chris Sorensen
- Duración: 13 h y 32 m
- Versión completa
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General3.5 out of 5 stars 47
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Narración:3 out of 5 stars 38
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Historia3.5 out of 5 stars 38
In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.
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1 out of 5 stars
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Outdated
- De Timothy C. en 05-31-23
De: John Mueller, y otros
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Artificial Intelligence
- A Guide for Thinking Humans
- De: Melanie Mitchell
- Narrado por: Abby Craden, Melanie Mitchell, Tony Wolf
- Duración: 9 h y 33 m
- Versión completa
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General4.5 out of 5 stars 385
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Narración:4.5 out of 5 stars 327
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Historia4.5 out of 5 stars 325
In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.
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5 out of 5 stars
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Start understanding AI right here!
- De Chad M. en 01-26-20
De: Melanie Mitchell
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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
- Versión completa
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General5 out of 5 stars 1
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Narración:5 out of 5 stars 1
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Historia5 out of 5 stars 1
In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
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5 out of 5 stars
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Thank you!
- De Anonymous en 01-25-23
De: Alexey Grigorev