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Adam Optimizer Explained: Why It’s Popular in Deep Learning?

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Adam Optimizer Explained in Detail. Adam 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. Adam Optimizer increases the horizontal movement and reduced the vertical ...

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Adam Optimizer Explained: Why It’s Popular in Deep Learning?

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