Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini ...

See Machine Learning for Beginners: An Introduction to Neural Networks for a good in-depth walkthrough with the math involved in gradient descent.

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...