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

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