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 Batch ...

Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and ...