Designing a neural network (NN) for processing complex signals is a challenging task due to the lack of bounded and differentiable nonlinear activation functions in the entire complex domain C. To ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, Sigmoid, and more. Perfect for machine learning enthusiasts and AI ...

Hybrid Artificial Neural Network Activation Function to Reduce Water Wastage in Agricultural Irrigation ... The only practical solutions to the above problems are precision farming and smart ... The ...