RMSprop Optimizer Explained in Detail. RMSprop Optimizer is a technique that reduces the time taken to train a model in Deep Learning.

The path of learning in mini-batch gradient descent is zig-zag, and not straight. Thus, some time gets wasted in moving in a zig-zag direction. RMSprop Optimizer increases the horizontal movement and reduced the vertical movement, thus making the zig-zag path straighter, and thus reducing the time taken to train the model.

The concept of RMSprop Optimizer is difficult to understand. Thus in this video, I have done my best to provide you with a detailed Explanation of the RMSprop Optimizer.



Momentum Optimizer in Deep Learning: https://youtu.be/Vce8w1sy0e8



Watch Next Video on Adam Optimizer: https://youtu.be/tuU59-G1PgU



Improving Neural Network Playlist: https://www.youtube.com/watch?v=SOI39DEHGSk&list=PLuhqtP7jdD8DKUBtucBD0mGS7y0rT9alz&t=0s

Complete Neural Network Playlist: https://www.youtube.com/watch?v=vtx1iwmOx10&t=284s

Complete Logistic Regression Playlist: https://www.youtube.com/watch?v=U1omz0B9FTw&list=PLuhqtP7jdD8Chy7QIo5U0zzKP8-emLdny&t=0s

Complete Linear Regression Playlist: https://www.youtube.com/watch?v=mlk0r...



Timestamp:
0:00 Agenda
1:42 RMSprop Optimizer Explained
5:37 End



Subscribe to my channel, because I upload a new Machine Learning video every week: https://www.youtube.com/channel/UCJFA...