| 書目名稱 | Pro Deep Learning with TensorFlow |
| 副標題 | A Mathematical Appro |
| 編輯 | Santanu Pattanayak |
| 視頻video | http://file.papertrans.cn/757/756379/756379.mp4 |
| 概述 | Provides a practical, hands-on approach to deploy deep learning applications using TensorFlow in a relatively short period of time.Covers the application of deep learning from scratch and deploying me |
| 圖書封面 |  |
| 描述 | Deploy deep learning solutions in production with ease using TensorFlow. You‘ll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own..Pro Deep Learning with TensorFlow.?provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures..All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways..You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community.?.What You‘ll Learn.Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning.Deploy complex deep learning solutions in production usi |
| 出版日期 | Book 20171st edition |
| 關(guān)鍵詞 | Machine Learning; Deep Learning; Python; TensorFlow; Image Processing; Audio Processing; Convolutional Neu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4842-3096-1 |
| isbn_ebook | 978-1-4842-3096-1 |
| copyright | Santanu Pattanayak 2017 |
|Archiver|手機版|小黑屋|
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