Activation function is a what forms an output of a neuron. This is what adds non-linearlity to your prediction and makes a Neural Network based ...

1) Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process ManufacturingAuthor(s): Feng Qian, Yaochu Jin, ...

After completing Course #4 of the Coursera Deep Learning specialization I wanted to write a short summary to help y'all understand / brush up on the ...

Today, we resume our exploration of group equivariance. This is the third post in the series. The first was a high-level introduction: what this is all ...

So far, we have been talking about discriminative models which map input features x to labels y and approximate P(y/x) - Baye's law.Generative models do ...

Asymmetric Certified Robustness via Feature-Convex Neural Networks TLDR: We propose the asymmetric certified robustness problem, which ...

Words: Jim Nichols, Founder of  Exclamation Marketing  The rise of retail media networks (RMNs) has been incredibly fast and large. From basically ...

ClickBank has long been a prominent name in the affiliate marketing industry, renowned for its extensive product range and lucrative commission rates ...

🔘 Laboratory page: poloclub.github.io/cnn-explainer/ Summary Deep learning’s great success motivates many practitioners and students to ...

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, ...