Gradient descent has a fundamental limitation: on most real-world loss surfaces, it is inefficient. When the surface has uneven curvature—steep in one direction and flat in another, which is common in ...
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: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
This is a question I've been asking myself for years. LispE is not my first programming language - far from it. I have proposed in the past Tamgu - a rather rich language that merges in the same ...
What makes an interpreted language fast? This is a question I've been asking myself for years. LispE is not my first programming language - far from it. I have proposed in the past Tamgu - a rather ...
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