Abstract: Machine learning (ML) algorithms take help of different activation functions to calculate probabilities for classification problem. Over the past few years researchers are trying to ...

Learn the foundations of calculus using simple math concepts that are easy to understand, even if you’re new to the subject. This guide breaks down limits, derivatives, and basic integrals using clear ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...

Universal basic income was once thought politically impossible. Then came Andrew Yang and COVID-19. Basic income programs are now gaining traction, offering payments to struggling families. Many ...

The softmax function or normalized exponential function is a generalization of the logistic function to multiple dimensions. In this example (X is weight, Y is height) where (0,0) is top left corner.

Thanks for your outstanding work. After reading your paper, I carefully analyze your code. I found out that you used pytorch api function prob = F.softmax(pred, dim=1). Based on my experience, softmax ...