Abstract: A fast gradient-descent (FGD) method is proposed for far-field pattern synthesis of large antenna arrays. Compared with conventional gradient-descent (GD) methods for pattern synthesis where ...

Abstract: Recently, modified noisy gradient descent bit flipping (MNGDBF) algorithms have been proposed to eliminate the Gaussian random generators required in the original noisy gradient descent bit ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Trump offered to unfreeze funding for NYC tunnel if Dulles Airport, train station ...

The paper posits that traditional optimizers are associative memory modules. To align the optimization process with the NL paradigm, the architecture should employ Deep Optimizers. Specifically, the ...

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The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's bank savings account balance based on their age, years of ...

Brookdale Senior Living will be required to adopt corporate governance reforms and pay $1.9 million in attorneys’ fees and expenses under the terms of a settlement to a lawsuit over the company’s ...