Today in power electronics, the folks over at Texas Instruments have put together a video covering low-dropout (LDO) linear regulators. For a hacker, power is pretty fundamental, so it behooves us ...
The rapid development and widespread use of artificial intelligence (AI) systems is posing new challenges for electricity ...
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Momentum optimizer explained for faster deep learning training
In this video, we will understand in detail what is Momentum Optimizer in Deep Learning. Momentum Optimizer in Deep Learning ...
Abstract: Harmonic correction is influenced by the parameter settings of the hybrid active power filters (HAPF). To optimize these settings, this research uses the One to One Based Optimizer (OOBO), ...
According to Mr Techatat Buranaaudsawakul, Chairman of the Electrical Engineering Department at the Engineering Institute of ...
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RMSprop optimizer explained in deep learning
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, ...
Abstract: This article presents a novel approach to tackle the challenge of Probabilistic Multi-Objective Optimal Power Flow (PMOOPF) by utilizing the Grey Wolf Optimizer (GWO). The methodology ...
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