Why did it take so much time to pace up? What is this sudden boom that Neural Networks and Deep Learning created? What makes Neural Networks this hype-worthy?

In this paper, we proved that under suitable conditions, convolution neural networks can inherit the universal approximation property of its last fully ...

May 21, 2024 · ... neural network can approximate the mapping from image pixels to class labels. However, in practice, deep convolutional neural networks (CNNs) ...

The Convolutional Neural Network (CNN) is one of the most prominent neural network architectures in deep learning. Despite its widespread adoption, ...

In the mathematical theory of artificial neural networks, universal approximation theorems are theorems of the following form: Given a family of neural ...

can inherit the universal approximation property of its last fully connected two-layer net- ... Ay, Refinements of universal approximation results for deep belief ...

Mar 21, 2024 · PDF | Large-scale deep neural networks are both memory intensive and computation-intensive, thereby posing stringent requirements on the ...

Mar 26, 2023 · It is a fundamental result in the field of ANN, which states that certain types of neural network can approximate certain function to any desired degree of ...

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On the Universal Approximation Property of Deep Fully Convolutional Neural Networks · Ting-Wei LinZuowei ShenQianxiao Li. Computer Science, Mathematics. ArXiv.