Projects in Awesome Lists tagged with regularization-techniques
A curated list of projects in awesome lists tagged with regularization-techniques .
https://github.com/mohammedsaqibms/regularization
This repository implements a 3-layer neural network with L2 and Dropout regularization using Python and NumPy. It focuses on reducing overfitting and improving generalization. The project includes forward/backward propagation, cost functions, and decision boundary visualization. Inspired by the Deep Learning Specialization from deeplearning.ai.
deep-learning dropout-regularization gradient-descent l2-regularization model-training neural-network-architecture overfitting-prevention performance-optimization regularization-techniques
Last synced: 18 Mar 2025
https://github.com/harmanveer-2546/guide-to-regularization
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn
Last synced: 05 Apr 2025
https://github.com/jacksonwalters/regularization-neural-networks
use various regularization techniques to minimize energy in neural networks
neural-networks regularization regularization-methods regularization-techniques
Last synced: 20 Sep 2025
