Neural network training involves adjusting network parameters to minimise a loss function and thereby enable models to extract meaningful patterns from data. Fundamental optimisation schemes include ...

Deep learning models, with their vast capacity to fit complex data patterns, are prone to overfitting when trained on limited or noisy datasets. Regularization techniques act as constraints or ...

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting.