This project presents a comprehensive tutorial on Convolutional Neural Networks (CNNs), combining theoretical understanding with practical implementation. The focus of this tutorial is to demonstrate ...
De Matola & Arcara (2026) is a tutorial paper on convolutional neural networks (CNNs) and their use in neuroscience. The paper aims to demystify CNNs in the eyes of neuroscientific researchers that ...
Abstract: Deep neural networks (DNNs) and especially convolutional neural networks (CNNs) have revolutionized the way we approach the analysis of large quantities of data. However, the largely ad hoc ...
Abstract: In this paper, we propose a novel method to construct low rate recursive convolutional codes. The 'overall' convolutional code has a block code and a simple recursive convolutional code as ...