这本书是为日常开发人员编写的，里面没有复杂的数学证明或不必要的学术理论。
学习现代深度学习的理论和实践，应用创新技术解决日常数据问题。Inside Deep Learning是一本快速入门指南，介绍如何通过深度学习解决常见技术问题。
这本书是为日常开发人员编写的，里面没有复杂的数学证明或不必要的学术理论。通过几十个即时有用的PyTorch示例，您将了解到通过简单的语言、带注释的代码和公式进行深度学习的效果。接下来，你将建立一个法文-英文翻译人员，其工作原理与专业机器翻译相同，并发现最新研究中出现的尖端技术。最棒的是，使用免费的GPU硬件，本书中的每个深度学习解决方案都可以在不到15分钟的时间内运行！
购买纸质书包括曼宁出版社提供的PDF、Kindle和ePub格式的免费电子书。
Inside Deep Learning: Math, Algorithms, Models (Final Release)
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.
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