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
• Hyperparameter optimization
• Practical applications of 3D-GANs

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