Complete.

Author: 0xDaksh

index.md

@@ -17,9 +17,24 @@
   - [Sequence Modeling: Recurrent and Recursive Nets](http://www.deeplearningbook.org/contents/rnn.html)
   - [Practical Methodology](http://www.deeplearningbook.org/contents/guidelines.html)
   - [Applications](http://www.deeplearningbook.org/contents/applications.html)
+- [Part III: Deep Learning Research](http://www.deeplearningbook.org/contents/part_research.html)
+  - [Linear Factor Models](http://www.deeplearningbook.org/contents/linear_factors.html)
+  - [Autoencoders](http://www.deeplearningbook.org/contents/autoencoders.html)
+  - [Representation Learning](http://www.deeplearningbook.org/contents/representation.html)
+  - [Structured Probabilistic Models for Deep Learning](http://www.deeplearningbook.org/contents/graphical_models.html)
+  - [Monte Carlo Methods](http://www.deeplearningbook.org/contents/monte_carlo.html)
+  - [Confronting the Partition Function](http://www.deeplearningbook.org/contents/partition.html)
+  - [Approximate Inference](http://www.deeplearningbook.org/contents/inference.html)
+  - [Deep Generative Models](http://www.deeplearningbook.org/contents/generative_models.html)
+
+- [Bibliography](http://www.deeplearningbook.org/contents/bib.html)
+- [Index](http://www.deeplearningbook.org/contents/index-.html)
 
 ### Notes & Credits:
 Authored by: Ian Goodfellow and Yoshua Bengio and Aaron Courville
+
 Publisher: MIT Press
+
 Release Year: 2016
+
 URL: [Deep Learning Book](http://www.deeplearningbook.org)