Merge pull request #166 from mangipudiprashanth7/master

Update README.md

README.md

@@ -42,7 +42,8 @@
 9.  [Artificial intelligence and machine learning: Topic wise explanation](https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/)
 10.[Grokking Deep Learning for Computer Vision](https://www.manning.com/books/grokking-deep-learning-for-computer-vision)
 11. [Dive into Deep Learning](https://d2l.ai/) - numpy based interactive Deep Learning book
-12. [Math and Architectures of Deep Learning](https://www.manning.com/books/math-and-architectures-of-deep-learning) - by Krishnendu Chaudhury
+12. [Practical Deep Learning for Cloud, Mobile, and Edge](https://www.oreilly.com/library/view/practical-deep-learning/9781492034858/) - A book for optimization techniques during production.
+13. [Math and Architectures of Deep Learning](https://www.manning.com/books/math-and-architectures-of-deep-learning) - by Krishnendu Chaudhury
 
  
 ### Courses
@@ -160,6 +161,10 @@
 42. [Efficient BackProp](http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf)
 43. [Generative Adversarial Nets](https://arxiv.org/pdf/1406.2661v1.pdf)
 44. [Fast R-CNN](https://arxiv.org/pdf/1504.08083.pdf)
+45. [FaceNet: A Unified Embedding for Face Recognition and Clustering](https://arxiv.org/pdf/1503.03832.pdf)
+46. [Siamese Neural Networks for One-shot Image Recognition](https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf)
+47. [Unsupervised Translation of Programming Languages](https://arxiv.org/pdf/2006.03511.pdf)
+48. [Matching Networks for One Shot Learning](http://papers.nips.cc/paper/6385-matching-networks-for-one-shot-learning.pdf)
 
 ### Tutorials