July 2018
Intermediate to advanced
310 pages
8h 21m
Chinese
Content preview from 深度学习入门 : 基于Python的理论与实现
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第 8章 深度学习
264
8.6
小结
本章我们实现了一个（稍微）深层的
CNN
，并在手写数字识别上获得了
超过99
%
的高识别精度。此外，还讲解了加深网络的动机，指出了深度学习
在朝更深的方向前进。之后，又介绍了深度学习的趋势和应用案例，以及对
高速化的研究和代表深度学习未来的研究案例。
深度学习领域还有很多尚未揭晓的东西，新的研究正一个接一个地出现。
今后，全世界的研究者和技术专家也将继续积极从事这方面的研究，一定能
实现目前无法想象的技术。
感谢读者一直读到本书的最后一章。如果读者能通过本书加深对深度学
习的理解，体会到深度学习的有趣之处，笔者将深感荣幸。
图8-27 基于 Deep Q-Network 学习电子游戏的操作。输入是电子游戏的图像，经过摸索
试验，学习出让专业玩家都自愧不如的游戏手柄（操作杆）的操作手法（引用自文
献[44]）
8.6 小结
265
本章所学的内容
•
对于大多数的问题，都可以期待通过加深网络来提高性能。
•
在最近的图像识别大赛 ILSVRC 中，基于深度学习的方法独占鳌头，
使用的网络也在深化。
•
VGG、GoogLeNet、ResNet 等是几个著名的网络。
•
基于 GPU、分布式学习、位数精度的缩减，可以实现深度学习的高速化。
•
深度学习（神经网络）不仅可以用于物体识别，还可以用于物体检测、 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.