https://github.com/vyjayanthipolapragada/image_classifier_cnn_data_augmentation
A deep learning project using Convolutional Neural Networks (CNNs) to classify CIFAR-10 images. The model leverages data augmentation, batch normalization, and ReLU activation to improve performance and generalization. Includes training and evaluation scripts for multi-class image classification.
https://github.com/vyjayanthipolapragada/image_classifier_cnn_data_augmentation
adam-optimizer convolutional-neural-networks data-augmentation deep-learning image-classification jupyter-notebook neural-networks numpy optimizer pandas python pytorch relu-layer
Last synced: 3 months ago
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A deep learning project using Convolutional Neural Networks (CNNs) to classify CIFAR-10 images. The model leverages data augmentation, batch normalization, and ReLU activation to improve performance and generalization. Includes training and evaluation scripts for multi-class image classification.
- Host: GitHub
- URL: https://github.com/vyjayanthipolapragada/image_classifier_cnn_data_augmentation
- Owner: VyjayanthiPolapragada
- Created: 2025-04-28T09:50:02.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-28T09:53:35.000Z (about 1 year ago)
- Last Synced: 2025-04-28T10:51:22.284Z (about 1 year ago)
- Topics: adam-optimizer, convolutional-neural-networks, data-augmentation, deep-learning, image-classification, jupyter-notebook, neural-networks, numpy, optimizer, pandas, python, pytorch, relu-layer
- Language: Jupyter Notebook
- Homepage:
- Size: 79.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0