Structural findings reveal how distinct GPCR ligands create different levels of activation

G-protein coupled receptors (GPCRs) are proteins triggered by ligands (protein-binding chemicals) from outside cells to ...
Scientific Research Publishing

Pedamonti, D. (2018) Comparison of Non-Linear Activation Functions for Deep Neural Networks on MNIST Classification Task. arXiv.

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
GitHub

[BUG] linear activation and activation_hidden in SimpleRNNRegressor

RNN regressor currently has linear for both hidden and final layer activations, which essentially defeats the purpose of using a neural network and reduces the whole setup to linear regression. If you ...
Semiconductor Engineering

Implementing AI Activation Functions

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
Game Rant

What Is Activate in Marvel Snap? (& How to Use It)

Mohsen Baqery is a Guide Staff Writer from Turkey. With a passion for gaming that borders on obsession, Mohsen thrives on guiding fellow gamers through the most challenging obstacles while exploring ...
IEEE

Activation Control of Multiple Piecewise Linear Neural Networks

Abstract: Piecewise linear neural networks (PLNNs) are proven universal approximators for continuous functions on the compact domain. For multiple PLNNs (mPLNNs) differing from each other in suffering ...
Forbes

How AI Kills Linear Thinking

Forbes contributors publish independent expert analyses and insights. Steve Andriole writes about all things digital - and especially AI. “Linear thinking is a systematic and analytical thought ...