February 2021
Intermediate to advanced
214 pages
6h 24m
Chinese
Overview
深度学习技术的发展如火如荼，这些知识正迅速成为机器学习从业者甚至许多软件开发工程师的“加分项”。深度学习是一个立体的领域，仅从数学层面或代码层面学习，难免以偏概全，无法融会贯通。
本书作者认为，理解深度学习和神经网络需要多种思维模型。因此，本书从数学、示意图、Python代码三个维度帮助你立体地理解每一个概念，带你领略深度学习领域的全貌，从内到外地理解构建神经网络的每一步。你将学到以下内容。
- 为理解深度学习的概念和原理构建多种思维模型。
- 掌握嵌套函数、链式法则等数学概念。
- 掌握学习率衰减、权重初始化、dropout等优化技巧。
- 从零构建CNN和RNN等常见的神经网络架构。
- 使用PyTorch实现神经网络。
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