深度学习入门:基于PyTorch和TensorFlow的理论与实现

· Sonbook Book 204 · 清华大学出版社(崧博)
Ebook
200
Pages

About this ebook

本书是一本系统介绍深度学习基础知识和理论原理的入门书籍。


本书从神经网络的基本结构入手,详细推导了前向传播与反向传播的数学公式和理论支持,详细介绍了如今各种优化神经网络的梯度优化算法和正则化技巧,给出了在实际应用中的超参数调试和网络训练的技巧。同时,也介绍了典型的卷积神经网络(CNN)和循环神经网络(RNN)。


除了介绍理论基础外,本书以Python为基础,详细介绍了如今主流的深度学习框架PyTorch和TensorFlow,并分别使用这两种框架来构建相应的项目,帮助读者从理论和实践中提高自己的深度学习知识水平。

Rate this ebook

Tell us what you think.

Reading information

Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.