July 2018
Intermediate to advanced
310 pages
8h 21m
Chinese
Overview
从零开始，简明易懂，入门书的明智之选！
本书有什么特色？
- 使用Python 3，尽可能少地依赖外部库或工具，从零创建一个深度学习模型。
- 提供可运行的Python源代码以及可以让读者亲自试验的学习环境。
- 结合直观的插图介绍神经网络和深度学习的基础理论，简明易懂。
- 深入浅出地介绍误差反向传播法、卷积神经网络等看似复杂的技术。
- 介绍学习率的确定方法、权重的初始值等深度学习相关的实用技巧。
- 介绍Batch Normalization、Dropout、Adam等新方法并进行实现。
- 介绍自动驾驶、图像生成、强化学习等方面的应用。
- 回答为什么加深层能提高识别精度、为什么隐藏层很重要等方面的问题。
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