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TORRENT DETAILS
Generative Adversarial Networks Projects - Build Next-generation Generative Models Using TensorFlow And Keras
TORRENT SUMMARY
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Explore various Generative Adversarial Network architectures using the Python ecosystem
Key Features
Use different datasets to build advanced projects in the Generative Adversarial Network domain
Implement projects ranging from generating 3D shapes to a face aging application
Explore the power of GANs to contribute in open source research and projects
Book Description
Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain.
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FILE LIST
Filename
Size
~Get Your Files Here !/Bonus Resources.txt
386 B
~Get Your Files Here !/softarchive.is1789136679.epub
