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The majority of notes and coursework are based on Andrew Ng's deep learning course, I hope you'll enjoy it.

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Deeplearning-Notes-Resurece- 吴恩达的深度学习笔记及资源汇总

视频教程可以在网易云课堂吴恩达的人工只能第一课页面免费学习。也可以去coursera,支付每月49美刀的订阅费学习。这里推荐网易云不仅免费高清能几倍速度播放还有中文字幕,以下为课程全部链接,推荐按顺序学习,也可以学完前两课再按兴趣学。

1:神经网络和深度学习.

2:改善深层神经网络:超参数调试、正则化以及优化.

3:结构化机器学习项目.

4:卷积神经网络.

5:序列模型.

文件说明

01-05课是从coursera里吴恩达Deep Learning课程中拿出的作业,可以配合视频来学习了解并完成神经网络,深层神经网络的优化,Tensorflow以及卷积神经网络等相关代码。 代码通过jupyter打开。只需要在中间加入自己的代码即可,然后Shift+Enter运行每一块。

### START CODE HERE ### (≈ 1 line of code)
test = "Hello World"
 ### END CODE HERE ###

06是全部的课程讲义从网易云课程里下载。07是从网站下载整理的图文版的视频资料,相当于吴恩达在视频里所说的话和图片都被整理到了这里,非常有参考价值。

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The majority of notes and coursework are based on Andrew Ng's deep learning course, I hope you'll enjoy it.

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