Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...