https://github.com/shikha-code36/early-exit-cnn
A deep learning framework that implements Early Exit strategies in Convolutional Neural Networks (CNNs) using Deep Q-Learning (DQN). This project enhances computational efficiency by dynamically determining the optimal exit point in a neural network for image classification tasks on CIFAR-10.
https://github.com/shikha-code36/early-exit-cnn
cifar-10 cifar10 cifar10-classification cnn cnn-pytorch deep-learning dqn early-exit efficient-ai image-classification model-optimization pytorch pytorch-cnn reinforcement-learning
Last synced: 7 months ago
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A deep learning framework that implements Early Exit strategies in Convolutional Neural Networks (CNNs) using Deep Q-Learning (DQN). This project enhances computational efficiency by dynamically determining the optimal exit point in a neural network for image classification tasks on CIFAR-10.
- Host: GitHub
- URL: https://github.com/shikha-code36/early-exit-cnn
- Owner: Shikha-code36
- License: mit
- Created: 2025-02-21T08:45:21.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-21T10:14:17.000Z (8 months ago)
- Last Synced: 2025-02-21T10:37:05.661Z (8 months ago)
- Topics: cifar-10, cifar10, cifar10-classification, cnn, cnn-pytorch, deep-learning, dqn, early-exit, efficient-ai, image-classification, model-optimization, pytorch, pytorch-cnn, reinforcement-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0