Regularization
PublicThis 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-learningdropout-regularizationgradient-descentl2-regularizationmodel-trainingneural-network-architectureoverfitting-preventionperformance-optimizationregularization-techniques
Creat：2024-09-12T01:42:01
Update：2025-02-19T23:50:18
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