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PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

(ebook) (audiobook) (audiobook) Książka w języku angielskim
PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily Sherin Thomas, Sudhanshu Passi - okladka książki

PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily Sherin Thomas, Sudhanshu Passi - okladka książki

PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily Sherin Thomas, Sudhanshu Passi - audiobook MP3

PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily Sherin Thomas, Sudhanshu Passi - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
250
Dostępne formaty:
     PDF
     ePub
     Mobi
PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with PyTorch. It is not an academic textbook and does not try to teach deep learning principles. The book will help you most if you want to get your hands dirty and put PyTorch to work quickly.

PyTorch Deep Learning Hands-On shows how to implement the major deep learning architectures in PyTorch. It covers neural networks, computer vision, CNNs, natural language processing (RNN), GANs, and reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient TorchScript, and deploy to production using the most sophisticated available tools.

Each chapter focuses on a different area of deep learning. Chapters start with a refresher on how the model works, before sharing the code you need to implement it in PyTorch.

This book is ideal if you want to rapidly add PyTorch to your deep learning toolset.

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O autorach książki

Sherin Thomas started his career as an information security expert and shifted his focus to deep learning-based security systems. He has helped several companies across the globe to set up their AI pipelines and worked recently for CoWrks, a fast-growing start-up based out of Bengaluru. Sherin is working on several open source projects including PyTorch, RedisAI, and many more, and is leading the development of TuringNetwork.ai. Currently, he is focusing on building the deep learning infrastructure for [tensor]werk, an Orobix spin-off company.
Sudhanshu Passi is a technologist employed at CoWrks. Among other things, he has been the driving force behind everything related to machine learning at CoWrks. His expertise in simplifying complex concepts makes his work an ideal read for beginners and experts alike. This can be verified by his many blogs and this debut book publication. In his spare time, he can be found at his local swimming pool computing gradient descent underwater.

Packt Publishing - inne książki

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