Stochastic gradient decent?

Is stochastic gradient decent useful (in engineering projects or research)…? Is the research in this area hot…?


Hi @Wz111 ,

Stochastic gradient descent (mini-batch of size=1) is not much used in real scenarios as you loose the optimization benefits of vectorization.

What is more frequently used are mini-batches with a carefully selected size to maximize the performance gains in your particular hardware.

We have discussed a little about this topic in this other post: What is the main benefit of minibatch size?

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Thanks… One additional question… Is stochastic approach/random process or the relevant useful in deep learning?