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cs.LG2024
Artificial Neural Network and Deep Learning: Fundamentals and Theory
M. M. Hammad
"Artificial Neural Network and Deep Learning: Fundamentals and Theory" offers a comprehensive exploration of the foundational principles and advanced methodologies in neural networ…
cs.LG2024
Comprehensive Survey of Complex-Valued Neural Networks: Insights into Backpropagation and Activation Functions
M. M. Hammad
Artificial neural networks (ANNs), particularly those employing deep learning models, have found widespread application in fields such as computer vision, signal processing, and wi…
cs.LG2024
Deep Learning Activation Functions: Fixed-Shape, Parametric, Adaptive, Stochastic, Miscellaneous, Non-Standard, Ensemble
M. M. Hammad
In the architecture of deep learning models, inspired by biological neurons, activation functions (AFs) play a pivotal role. They significantly influence the performance of artific…