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.
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▶ Momentum Optimizer in Deep Learning: https://youtu.be/Vce8w1sy0e8
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▶ Watch Next Video on Adam Optimizer: https://youtu.be/tuU59-G1PgU
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✔ 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...
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Timestamp:
0:00 Agenda
1:42 RMSprop Optimizer Explained
5:37 End
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