Deep Learning

What is AdaGrad?

A sophisticated gradient descent algorithm that rescales the gradients of each parameter, effectively giving each parameter an independent learning rate.

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Type of backpropagation where we use only a single training example for calculation of the gradient and update parameters.
Type of backpropagation where we use the whole dataset to perform a single step.
Type of backpropagation where we use a fixed number of training examples which is lees than the actual dataset to perform a calculation of the gradient
Name three different deep learning frameworks.
Which ones are two actors in a convolutional operation?
How does dropout regularization works in deep learning?

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What is AdaGrad?

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