Inside Deep Learning: Math, Algorithms, Models (Paperback)
暫譯: 深度學習內幕：數學、演算法、模型 (平裝本)

Raff, Edward

Inside Deep Learning: Math, Algorithms, Models (Paperback)

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商品描述

Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory in Inside Deep Learning.

Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. Inside Deep Learning is a fast-paced beginner's guide to solving common technical problems with deep learning.

Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory in Inside Deep Learning. You'll learn how deep learning works through plain language, annotated code, and equations as you work through dozens of instantly useful PyTorch examples. As you go, you'll build a French-English translator that works on the same principles as professional machine translation, and discover cutting-edge techniques just emerging from the latest research. Best of all, every deep learning solution in this book can run in less than fifteen minutes using free GPU hardware!

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

商品描述(中文翻譯)

本書《Inside Deep Learning》是為日常開發者所寫，沒有複雜的數學證明或不必要的學術理論。

深入探索現代深度學習的理論與實踐，並應用創新技術解決日常數據問題。《Inside Deep Learning》是一本快速入門的指南，幫助讀者用深度學習解決常見的技術問題。

本書《Inside Deep Learning》是為日常開發者所寫，沒有複雜的數學證明或不必要的學術理論。您將通過簡單的語言、註解代碼和方程式來了解深度學習的運作，並在學習過程中實作數十個即時可用的 PyTorch 範例。在這個過程中，您將建立一個法英翻譯器，該翻譯器基於與專業機器翻譯相同的原則，並發現最新研究中剛剛出現的尖端技術。最棒的是，本書中的每個深度學習解決方案都可以在不到十五分鐘的時間內，使用免費的 GPU 硬體運行！

購買印刷版書籍可獲得 Manning Publications 提供的免費 PDF、Kindle 和 ePub 格式電子書。

作者簡介

Edward Raff is a Chief Scientist at Booz Allen Hamilton, and the author of the JSAT machine learning library. His research includes deep learning, malware detection, reproducibility in ML, fairness/bias, and high performance computing. He is also a visiting professor at the University of Maryland, Baltimore County and teaches deep learning in the Data Science department. Dr Raff has over 40 peer reviewed publications, three best paper awards, and has presented at numerous major conferences.

作者簡介(中文翻譯)

Edward Raff 是 Booz Allen Hamilton 的首席科學家，也是 JSAT 機器學習庫的作者。他的研究領域包括深度學習、惡意軟體檢測、機器學習中的可重現性、公平性/偏見以及高效能計算。他同時也是馬里蘭大學巴爾的摩縣分校的客座教授，並在數據科學系教授深度學習。Raff 博士擁有超過 40 篇經過同行評審的出版物，獲得三項最佳論文獎，並在多個主要會議上發表演講。

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