Abstract: The performance of data-driven fault diagnosis methods is often impeded by irrelevant and redundant information in high-dimensional data. To address this issue, this article proposes a fault ...

Abstract: Improving the generalization performance of deep neural networks (DNNs) trained by minibatch stochastic gradient descent (SGD) has raised lots of concerns from deep learning practitioners.

#OctopusEffects, #aftereffects This is a very short and simple tutorial, not much to say. But its effect you can see right away, it's quite impressive Hope it is useful to you Thanks for watching ...