This is by far the best explanation of an RNN ever. The visualization helped me so much. I couldn't relate the RNN gate connections with the actual model architecture. Everywhere I see tensorflow boilerplate code with GRU layer 1 and GRU layer 2 with different sizes. Never made sense to me. Thanks for painstakingly unrolling at different timesteps to make us understand both the gate diagrams and actual arcitecture.
Hello sir just a small request can you please provide with what all topics you are going to cover in this playlist, also thank you for providing such detailed content for free.
@@mohdfaisal4725 I agree. It has been a long wait. His XGBoost introductory video was excellent, and there are probably far fewer videos intended for that playlist in comparison to the deep learning playlist.