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About Bai hua shen du xue xi yu TensorFlow
<span>本书基本独立成册，适用于零基础的初学者。</span><p>基础篇（第1～3章），讲解了机器学习、深度学习与实践的上下文知识，如基本的机器学习与深度学习算法，TensorFlow框架的安全与配置，简单的深度学习实践。该篇是阅读和实践的基石。</p><p>原理与实践篇（第4～8章），介绍“老牌”的深度学习网络的数学原理和工程实现原理，尤其是第4章，如果能基本读懂，后面的网络实现层面的问题基本都可以迎刃而解。涵盖BP网络、CNN、RNN的结构、思路、训练与使用，以及一些常见的综合性问题。该篇是学习深度学习的重点和难点，作者通过大量示例、推理与实现，帮读者*大化降低学习曲线。</p><p>扩展篇（第9～13章），介绍一些网络的变种和一些较新的网络特性，涵盖深度残差网络、受限玻尔兹曼机、强化学习、对抗学习，这是读者进一步学习与实践思路的钥匙。最后给出了一些有趣的深度学习应用：人脸识别、作诗姬、大师风图像处理，有趣又有用。</p>
Detailed Information
| Author: | 高扬 |
|---|---|
| Publication Year: | 2017 |
| ISBN: | 7111574575 |
| Pages: | 316 |
| Language: | other |
| File Size: | 161.3217 |
| Format: | |
| Price: | FREE |
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