In this work, continued fractions were used to implement the neural network activation function, the hyperbolic tangent function specifically, to reduce memory needs and speed up the calculations on ...

Abstract: Arrays of parallel-cascaded microring doublets with inter-stage differential phase shifts are proposed for realizing general optical filter transfer functions whose zeros ... the ...

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 ...