Merge pull request #168 from sankalp1999/master

Added 4 Latest Deep Learning series recently released on Youtube

README.md

@@ -113,6 +113,10 @@
 20. [Deep Learning Crash Course](https://www.manning.com/livevideo/deep-learning-crash-course) By Oliver Zeigermann
 21. [Deep Learning with R in Motion](https://www.manning.com/livevideo/deep-learning-with-r-in-motion): a live video course that teaches how to apply deep learning to text and images using the powerful Keras library and its R language interface.
 22. [Medical Imaging with Deep Learning Tutorial](https://www.youtube.com/playlist?list=PLheiZMDg_8ufxEx9cNVcOYXsT3BppJP4b): This tutorial is styled as a graduate lecture about medical imaging with deep learning. This will cover the background of popular medical image domains (chest X-ray and histology) as well as methods to tackle multi-modality/view, segmentation, and counting tasks.
+23. [Deepmind x UCL Deeplearning](https://www.youtube.com/playlist?list=PLqYmG7hTraZCDxZ44o4p3N5Anz3lLRVZF): 2020 version 
+24. [Deepmind x UCL Reinforcement Learning](https://www.youtube.com/playlist?list=PLqYmG7hTraZBKeNJ-JE_eyJHZ7XgBoAyb): Deep Reinforcement Learning
+25. [CMU 11-785 Intro to Deep learning Spring 2020](https://www.youtube.com/playlist?list=PLp-0K3kfddPzCnS4CqKphh-zT3aDwybDe) Course: 11-785, Intro to Deep Learning by Bhiksha Raj 
+26. [Machine Learning CS 229](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU) : End part focuses on deep learning By Andrew Ng
 
 ### Papers
 *You can also find the most cited deep learning papers from [here](https://github.com/terryum/awesome-deep-learning-papers)*