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    Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features Ashish Ranjan Jha, Dr. Gopinath Pillai

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features Ashish Ranjan Jha, Dr. Gopinath Pillai - okladka książki

    Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features Ashish Ranjan Jha, Dr. Gopinath Pillai - okladka książki

    Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features Ashish Ranjan Jha, Dr. Gopinath Pillai - audiobook MP3

    Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features Ashish Ranjan Jha, Dr. Gopinath Pillai - audiobook CD

    Autorzy:
    Ashish Ranjan Jha, Dr. Gopinath Pillai
    Serie wydawnicze:
    Mastering
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    450
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Deep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models.
    The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai.
    By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.

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    O autorze książki

    Ashish Ranjan Jha received his bachelor's degree in electrical engineering from IIT Roorkee (India), a master's degree in Computer Science from EPFL (Switzerland), and an MBA degree from Quantic School of Business (Washington). He has received a distinction in all 3 of his degrees. He has worked for large technology companies, including Oracle and Sony as well as the more recent tech unicorns such as Revolut, mostly focused on artificial intelligence. He currently works as a machine learning engineer.

    Ashish has worked on a range of products and projects, from developing an app that uses sensor data to predict the mode of transport to detecting fraud in car damage insurance claims. Besides being an author, machine learning engineer, and data scientist, he also blogs frequently on his personal blog site about the latest research and engineering topics around machine learning.

    Zobacz pozostałe książki z serii Mastering

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