Generative Adversarial Networks (GANs) covers the concepts, tools, and libraries that you will use to build efficient projects.
If you're a data scientist, ML developer, deep learning practitioner, or AI enthusiast looking for a project guide to test your knowledge and expertise in building real-world GANs models, this book is for you.
It covers the following topics:
Introduction to the basics of 3D-GANs
Setting up the project
Preparing the data
A Keras implementation of a 3D-GAN
Training the 3D-GAN
Practical applications of 3D-GANs
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