学习路线

1. AndrewNg吴恩达 《神经网络和深度学习》

https://www.deeplearning.ai/

2. 曹健 《人工智能实践:Tensorflow笔记》

地址:http://www.icourse163.org/learn/PKU-1002536002?tid=1002700003#/learn/announce

3.

google出品的机器学习速成课程

https://developers.google.cn/machine-learning/crash-course/

值得一看的视频:

google出品的机器学习速成课程

https://developers.google.cn/machine-learning/crash-course/

莫凡出品

https://www.youtube.com/watch?v=vZ263nfbh8g&index=2&list=PLXO45tsB95cKI5AIlf5TxxFPzb-0zeVZ8

https://morvanzhou.github.io/tutorials/machine-learning/tensorflow/1-1-C-gradient-descent/

https://morvanzhou.github.io/tutorials/machine-learning/evolutionary-algorithm/4-00-neuro-evolution/

cs20si

http://web.stanford.edu/class/cs20si/index.html

http://web.stanford.edu/class/cs20si/syllabus.html

https://github.com/chiphuyen/stanford-tensorflow-tutorials

斯坦福2018季CS231n

https://www.bilibili.com/video/av17204303

官网

https://www.tensorflow.org/tutorials/layers

比较值得一看的短文:

https://www.toutiao.com/i6453636774781518349/?tt_from=mobile_qq&utm_campaign=client_share&app=news_article&utm_source=mobile_qq&iid=13502845066&utm_medium=toutiao_android

三天速成!香港科技大学TensorFlow课件分享

github上一个从头教的教程 DeepLearningZeroToAll

https://github.com/hunkim/DeepLearningZeroToAll

好玩的项目

个人公众号,比较懒,很少更新,可以在上面提问题,如果回复不及时,可发邮件给我: tiehan@sina.cn

Sam avatar
About Sam
专注生物信息 专注转化医学