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GitHub topics: dropout-regularization

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.

Language: Jupyter Notebook - Size: 3.01 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

pngo1997/Convolutional-Neural-Network-Intel-Image-Classification

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

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Related Keywords
dropout-regularization 2 deep-learning 1 gradient-descent 1 l2-regularization 1 model-training 1 neural-network-architecture 1 overfitting-prevention 1 performance-optimization 1 regularization-techniques 1 batch-normalization 1 convolutional-neural-networks 1 image-classification 1 keras 1 python 1 regularization 1