| 书目名称 | Modern Deep Learning Design and Application Development | | 副标题 | Versatile Tools to S | | 编辑 | Andre Ye | | 视频video | | | 概述 | Explains how to think about deep learning from an analytical and creative problem-solving perspective.Covers multiple case studies of deep learning architectures.Prepares the readers to think critical | | 图书封面 |  | | 描述 | .Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking. .You’ll begin with a structured guide to using Keras, with helpful tips and best practices for making the most of the framework. Next, you’ll learn how to train models effectively with transfer learning and self-supervised pre-training. You will then learn how to use a variety of model compressions for practical usage. Lastly, you will learn how to design successful neural network architectures and creatively reframe difficult problems into solvable ones. You’ll learn notonly to understand and apply methods successfully but to think critically about it. ..Modern Deep Learning Design and Methods. is ideal for readers looking to utilize modern, flexible, and creative deep-learning design and | | 出版日期 | Book 2022 | | 关键词 | Deep Learning; Python; Neural Network; Transfer Learning; Model Compression; Pruning; Pre-trained Model; Ke | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-7413-2 | | isbn_softcover | 978-1-4842-7412-5 | | isbn_ebook | 978-1-4842-7413-2 | | copyright | Andre Ye 2022 |
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发表于 2025-3-21 16:35:08
