Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume I: Fundamentals Kindle Edition
Kindle Edition or EPUB + Converted PDF نویسندگان: Daniel Voigt Godoy
جزئیات
فرمت: Kindle Edition or EPUB + Converted PDF تاریخ انتشار نسخه الکترونیکی : January 22, 2022
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لینک: https://www.amazon.com/Deep-Learning-PyTorch-Step-Step-ebook/dp/B09R144ZC2
541,000 تومان
108,200 تومانبن تخفیف
زمان تحویل: آنی
توضیحات
Why this book?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!How is this book different?First, this book presents an easy-to-follow, structured, incremental, and from-first-principles approach to learning PyTorch.Second, this is a rather informal book: It is written as if you, the reader, were having a conversation with Daniel, the author.His job is to make you understand the topic well, so he avoids fancy mathematical notation as much as possible and spells everything out in plain English.What will I learn?In this first volume of the series, you’ll be introduced to the fundamentals of PyTorch: autograd, model classes, datasets, data loaders, and more. You will develop, step-by-step, not only the models themselves but also your understanding of them.By the time you finish this book, you’ll have a thorough understanding of the concepts and tools necessary to start developing and training your own models using PyTorch.If you have absolutely no experience with PyTorch, this is your starting point.What’s InsideGradient descent and PyTorch’s autogradTraining loop, data loaders, mini-batches, and optimizersBinary classifiers, cross-entropy loss, and imbalanced datasetsDecision boundaries, evaluation metrics, and data separability
541,000 تومان
108,200 تومانبن تخفیف
زمان تحویل: آنی