I had a joy learning, revising, and implementing CNN architectures. While going through the materials in this repository, I hope you will enjoy them as much as I did! For any error, suggestion, or simply anything, you can reach out through email, Twitter or LinkedIn.

Perhaps you feel there are too many to keep up with. Or maybe you dread trying to make sense of those you choose to move ahead with reading. In either of these cases, you may find some annotation helpful. Sure, you could do it yourself and have this markup available for subsequent reading, but machine learning engineer Aakash Kumar Nain (@A_K_Nain) has made available a collection of machine learning research papers that they have annotated during reading and shared with the community at large. Aakash explains the importance of reading research papers in general, and the importance of doing so for his own work.