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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

(ebook) (audiobook) (audiobook) Książka w języku 1
Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras Kailash Ahirwar - okladka książki

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras Kailash Ahirwar - okladka książki

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras Kailash Ahirwar - audiobook MP3

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras Kailash Ahirwar - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
316
Dostępne formaty:
     PDF
     ePub
     Mobi
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.

Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book. The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you’ll gain an understanding of the architecture and functioning of generative models through their practical implementation.

By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects.

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O autorze książki

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.

Packt Publishing - inne książki

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