rcmalli/keras-squeezenet
Keras implementation of SqueezeNet v1.1, a pretrained computer vision model for image classification.
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This repository provides a Keras implementation of SqueezeNet v1.1, a convolutional neural network architecture designed for efficient image classification. The implementation uses Keras Functional Framework 2.0 and includes pretrained weights converted from the original Caffe model. The model achieves AlexNet-level accuracy with a significantly smaller model size of 5.1 MB. Users can load the model and perform predictions on images using standard Keras preprocessing utilities.
Frequently asked
- What is rcmalli/keras-squeezenet?
- Keras implementation of SqueezeNet v1.1, a pretrained computer vision model for image classification.
- Is keras-squeezenet open source?
- Yes — rcmalli/keras-squeezenet is open source, released under the MIT license.
- What language is keras-squeezenet written in?
- rcmalli/keras-squeezenet is primarily written in Python.
- How popular is keras-squeezenet?
- rcmalli/keras-squeezenet has 405 stars on GitHub.
- Where can I find keras-squeezenet?
- rcmalli/keras-squeezenet is on GitHub at https://github.com/rcmalli/keras-squeezenet.