ODBIERZ TWÓJ BONUS :: »

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

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras Kailash Ahirwar - okładka ebooka

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

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

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

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

    Ebook

    139,00 zł

    Dodaj do koszyka lub Kup na prezent
    Kup 1-kliknięciem

    Przenieś na półkę

    Do przechowalni

    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.

    Wybrane bestsellery

    O autorze ebooka

    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.

    Zamknij

    Wybierz metodę płatności

    Zamknij Pobierz aplikację mobilną Ebookpoint