added DeepLearning.TV video series

Author: lsvih

README-zh-CN.md

@@ -212,7 +212,7 @@
 - [ ] [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/)
     - [GitHub repository(R)](http://www-bcf.usc.edu/~gareth/ISL/code.html)
     - [GitHub repository(Python)](https://github.com/JWarmenhoven/ISLR-python)
-    - [Videos](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/)
+    - [视频](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/)
 - [ ] [Building Machine Learning Systems with Python](https://www.packtpub.com/big-data-and-business-intelligence/building-machine-learning-systems-python)
     - [GitHub repository](https://github.com/luispedro/BuildingMachineLearningSystemsWithPython)
 - [ ] [Learning scikit-learn: Machine Learning in Python](https://www.packtpub.com/big-data-and-business-intelligence/learning-scikit-learn-machine-learning-python)
@@ -223,7 +223,7 @@
     - [Machine Learning Hands-On for Developers and Technical Professionals review](https://blogs.msdn.microsoft.com/querysimon/2015/01/01/book-review-machine-learning-hands-on-for-developers-and-technical-professionals/)
     - [GitHub repository](https://github.com/jasebell/mlbook)
 - [ ] [Learning from Data](https://www.amazon.com/Learning-Data-Yaser-S-Abu-Mostafa/dp/1600490069)
-    - [Online tutorials](https://work.caltech.edu/telecourse.html)
+    - [在线教程](https://work.caltech.edu/telecourse.html)
 - [ ] [Reinforcement Learning: An Introduction (2nd Edition)](https://webdocs.cs.ualberta.ca/~sutton/book/the-book-2nd.html)
     - [GitHub repository](https://github.com/ShangtongZhang/reinforcement-learning-an-introduction)
 - [ ] [Machine Learning with TensorFlow(MEAP)](https://www.manning.com/books/machine-learning-with-tensorflow)
@@ -240,14 +240,15 @@
 - [ ] [Everything You Need to know about Machine Learning in 30 Minutes or Less](https://vimeo.com/43547079)
 - [ ] [Nuts and Bolts of Applying Deep Learning - Andrew Ng](https://www.youtube.com/watch?v=F1ka6a13S9I)
 - [ ] BigML Webinar
-    - [Video](https://www.youtube.com/watch?list=PL1bKyu9GtNYHcjGa6ulrvRVcm1lAB8he3&v=W62ehrnOVqo)
-    - [Resources](https://bigml.com/releases)
+    - [视频](https://www.youtube.com/watch?list=PL1bKyu9GtNYHcjGa6ulrvRVcm1lAB8he3&v=W62ehrnOVqo)
+    - [资源](https://bigml.com/releases)
 - [ ] [mathematicalmonk's Machine Learning tutorials](https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA)
 - [ ] [Machine learning in Python with scikit-learn](https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A)
     - [GitHub repository](https://github.com/justmarkham/scikit-learn-videos)
-    - [Blog](http://blog.kaggle.com/author/kevin-markham/)
+    - [博客](http://blog.kaggle.com/author/kevin-markham/)
 - [ ] [My playlist – Top YouTube Videos on Machine Learning, Neural Network & Deep Learning](https://www.analyticsvidhya.com/blog/2015/07/top-youtube-videos-machine-learning-neural-network-deep-learning/)
 - [ ] [16 New Must Watch Tutorials, Courses on Machine Learning](https://www.analyticsvidhya.com/blog/2016/10/16-new-must-watch-tutorials-courses-on-machine-learning/)
+- [ ] [DeepLearning.TV](https://www.youtube.com/channel/UC9OeZkIwhzfv-_Cb7fCikLQ)
 
 ## MOOC
 - [ ] [Udacity的机器学习导论](https://www.udacity.com/course/intro-to-machine-learning--ud120)