XNOR-Net
Visit ToolXNOR-Net is an open-source tool for ImageNet classification using binary Convolutional Neural Networks. It provides implementations for training and using binary weight and XNOR-Networks.
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XNOR-Net is an open-source tool for ImageNet classification using binary Convolutional Neural Networks. It provides implementations for training and using binary weight and XNOR-Networks.
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About
XNOR-Net offers a Torch 7.0 implementation of binary Convolutional Neural Networks specifically designed for ImageNet classification. This open-source project provides the necessary code and instructions for researchers and engineers to train both Binary Weight Networks (BWN) and XNOR-Networks. It details the requirements, including dependencies on ImageNet-multiGPU, and provides commands for training with different network types and configurations. The project also includes information on using pre-trained models and expected accuracy metrics for various network types, making it a valuable resource for those working with efficient deep learning models.
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Open Source
Free
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