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Key Features Written to the latest, gold-standard specification of OpenCV 3 Master OpenCV, the open source library of the computer vision community Master fundamental concepts in computer vision and image processing Learn about the important classes and functions of OpenCV with complete working exam

epub格式，方便在移动端阅读，电脑上也可以用calibre或其他软件打开，有能力的话希望大家支持正版

Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy April 2017 Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide ISBN 139781786469786 Paperback 320 pages Book Description Deep learning is the step that comes after machine learning, and has more advanced implementations. Machine learning is not just for academics anymore, but is becoming a mainstream practice through wide adoption, and deep learning has taken the front s eat. As a data scientist, if you want to explore data abstraction layers, this book will be your guide. This book shows how this can be exploited in the real world with complex raw data using TensorFlow 1.x. Throughout the book, you’ll learn how to implement deep learning algorithms for machine learning systems and integrate them into your product offerings, including search, image recognition, and language processing. Additionally, you’ll learn how to analyze and improve the performance of deep learning models. This can be done by comparing algorithms against benchmarks, along with machine intelligence, to learn from the information and determine ideal behaviors within a specific context. After finishing the book, you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready to apply your knowledge to research or commercial projects. What You Will Learn Learn about machine learning landscapes along with the historical development and progress of deep learning Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x Access public datasets and utilize them using TensorFlow to load, process, and transform data Use TensorFlow on real-world datasets, including images, text, and more Learn how to evaluate the performance of your deep learning models Using deep learning for scalable object detection and mobile computing Train machines quickly to learn from data by exploring reinforcement learning techniques Explore active areas of deep learning research and applications

TensorFlow for Machine Intelligence 英文 原版 PDF 本资源转载自网络，如有侵权，请联系上传者或csdn删除

Learning OpenCV 3 Computer Vision with Python Second Edition Copyright © 2015 Packt Publishing

深入浅出的有关神经网络和深度学习教程，译自 Michael Nielsen 的[电子书] 本人已阅读完毕，其中一部分翻译和主流翻译有出入，但整体框架把握的很棒，并且讲出了深度学习中选择特定处理措施的原因，此外还有着对过去的总结和未来的展望。是一本非常不错的入门综述书籍。 神经网络和深度学习是一本在线书。本书会教会你： 神经网络，一种美妙的受生物学启发的编程范式，可以让计算机从观测数据中进行学 习 深度学习，一个强有力的用于神经网络学习的众多技术的集合 神经网络和深度学习目前给出了在图像识别、语音识别和自然语言处理领域中很多问题的最好解决方案。本书将会教你在神经网络和深度学习背后的众多核心概念。 本人已阅读完毕，其中一部分翻译和主流翻译有出入，但整体框架把握的很棒，并且讲出了深度学习中选择特定处理措施的原因，此外还有着对过去的总结和未来的展望。是一本非常不错的入门综述书籍。

数字图像处理书籍 冈萨雷斯写的 用Matlab写的 这本书是冈萨雷斯的著作中文版，每小节内容都有详细的matlab实现，是入门和提高的必备书籍，且不用积分下载

Eclipse中文版完美教程详细介绍了Elipse集成开发环境的安装及使用方法。特别适合于用Eclipse环境开发的初学者。。

文档包含各种经典C语言算法，各种排序算法，搜索算法，图算法。。