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GitHub / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shikha-code36%2Fearly-exit-cnn

Stars: 1
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 179 MB
Dependencies parsed at: Pending

Created at: 2 months ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: about 2 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

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