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 ...

Hinton, G., Srivastava, N. and Swersky, K. (2012) Neural Networks for Machine Learning Lecture 6a Overview of Mini-Batch Gradient Descent.

Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent.

This GitHub repository explores the importance of MLP components using the MNIST dataset. Techniques like Dropout, Batch Normalization, and optimization algorithms are experimented with to improve MLP ...