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Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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Generative AI with Python and TensorFlow 2 - Create images, text, and music with VAEs, GANs, LSTMs, Transformer models (Paperback)
Loot Price: R1,098
Discovery Miles 10 980
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Generative AI with Python and TensorFlow 2 - Create images, text, and music with VAEs, GANs, LSTMs, Transformer models (Paperback)
Expected to ship within 10 - 15 working days
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Fun and exciting projects to learn what artificial minds can create
Key Features Code examples are in TensorFlow 2, which make it easy
for PyTorch users to follow along Look inside the most famous deep
generative models, from GPT to MuseGAN Learn to build and adapt
your own models in TensorFlow 2.x Explore exciting, cutting-edge
use cases for deep generative AI Book DescriptionMachines are
excelling at creative human skills such as painting, writing, and
composing music. Could you be more creative than generative AI? In
this book, you'll explore the evolution of generative models, from
restricted Boltzmann machines and deep belief networks to VAEs and
GANs. You'll learn how to implement models yourself in TensorFlow
and get to grips with the latest research on deep neural networks.
There's been an explosion in potential use cases for generative
models. You'll look at Open AI's news generator, deepfakes, and
training deep learning agents to navigate a simulated environment.
Recreate the code that's under the hood and uncover surprising
links between text, image, and music generation. What you will
learn Export the code from GitHub into Google Colab to see how
everything works for yourself Compose music using LSTM models,
simple GANs, and MuseGAN Create deepfakes using facial landmarks,
autoencoders, and pix2pix GAN Learn how attention and transformers
have changed NLP Build several text generation pipelines based on
LSTMs, BERT, and GPT-2 Implement paired and unpaired style transfer
with networks like StyleGAN Discover emerging applications of
generative AI like folding proteins and creating videos from images
Who this book is forThis is a book for Python programmers who are
keen to create and have some fun using generative models. To make
the most out of this book, you should have a basic familiarity with
math and statistics for machine learning.
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