Read Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision

Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision

Daniel Voigt Godoy

4.9/5 (22324 ratings)

Description:Are you looking for a book where you can learn about deep learning and PyTorch without having to spend hours deciphering cryptic text and code? A technical book that’s also easy and enjoyable to read ? This is it! In this second volume of the series, you’ll be introduced to deeper models and activation functions , convolutional neural networks , initialization schemes, learning rate schedulers, transfer learning , and more. By the time you finish this book, you’ll have a thorough understanding of the concepts and tools necessary to start developing, training, and fine-tuning computer-vision models using PyTorch . If your goal is to learn about deep learning models for computer vision, and you’re already comfortable training simple models in PyTorch, the second volume is the right one for you.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision. To get started finding Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 398

Format: PDF, EPUB & Kindle Edition

Publisher: Self-Published

Release: 2022

ISBN

Description: Are you looking for a book where you can learn about deep learning and PyTorch without having to spend hours deciphering cryptic text and code? A technical book that’s also easy and enjoyable to read ? This is it! In this second volume of the series, you’ll be introduced to deeper models and activation functions , convolutional neural networks , initialization schemes, learning rate schedulers, transfer learning , and more. By the time you finish this book, you’ll have a thorough understanding of the concepts and tools necessary to start developing, training, and fine-tuning computer-vision models using PyTorch . If your goal is to learn about deep learning models for computer vision, and you’re already comfortable training simple models in PyTorch, the second volume is the right one for you.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision. To get started finding Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision

Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision

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