Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, ...

The sigmoid function is a widely used nonlinear activation function in neural networks. In this article, we present a modular approximation methodology for efficient fixed-point hardware ...

In this study, an obstacle avoidance maneuver with sigmoid function optimization is applied on the path following control of the Autonomous truck-trailer. The accumulation of trailers and traffic ...

pyEOF is a Python package for EOF and Rotated EOF Analysis . It takes advantage of sklearn.decomposition.PCA (for EOF) Advanced Priniciple Component Analysis (for varimax rotation // varimax rotated ...