Few people have shaped modern artificial intelligence across as many dimensions as Andrej Karpathy, as a researcher, engineer and teacher. Over the past decade, he has been at the forefront of some of ...
What is Deep Learning (DL)? "Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks." There are ...
Abstract: Deep neural networks (DNNs) are widely used in many fields, such as artificial intelligence generated content (AIGC) and robotics. To efficiently support these tasks, the model pruning ...
Abstract: Over the past decades, various neural networks have been proposed with the rapid development of the machine learning field. In particular, graph neural networks using feature-vectors ...
F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Neural Network Architectures for Signals Supported on Graphs," IEEE Trans. Signal Process., vol. 67 ...
Training neural networks to perform different tasks is relevant across various disciplines. In particular, Recurrent Neural Networks (RNNs) are of great interest in Computational Neuroscience.
ABSTRACT: This paper examines the effectiveness of the Differential autoregressive integrated moving average (ARIMA) model in comparison to the Long Short Term Memory (LSTM) neural network model for ...
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