This repo contains a NN implementation to classify handwritten digits from the MNIST dataset. It achieves approximately 98% accuracy on the test dataset. It employs basic features such as a ...

This code was part of a final project submission for the class Psychology 186B - Cognitive Science Laboratory: Neural Networks, which I took at UCLA in the Spring of 2020. The assignment was ...

MathWorks’ MATLAB 2018b release serves up a number of new features, including the Deep Learning Toolbox that supports development of machine-learning applications. Other new features include the 5G ...

Abstract: The detection of potholes in asphalt has been a concern in the field of deep learning to identify patterns with the best possible accuracy. In the smart city concept, autonomous cars are ...

Abstract: We show that the conventional first-order algorithm of unification can be simulated by finite artificial neural networks with one layer of neurons. In these unification neural networks, the ...