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dropout-regularization

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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 gradient-descent l2-regularization performance-optimization model-training regularization-techniques neural-network-architecture overfitting-prevention dropout-regularization

Updated Sep 12, 2024
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pngo1997 / Convolutional-Neural-Network-Intel-Image-Classification

Experiments with Convolutional Neural Networks (CNNs) to classify images from the Intel Image Classification dataset.

python keras batch-normalization image-classification regularization convolutional-neural-networks dropout-regularization

Updated Feb 1, 2025
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