matlab-deep-learning/Image-Classification-in-MATLAB-Using-Converted-TensorFlow-Model

This repository shows how to import a pretrained TensorFlow model in the SavedModel format, and use the imported network to classify an image.

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This project helps deep learning practitioners using MATLAB classify images using models trained in TensorFlow. It takes a pre-trained TensorFlow model and an image as input, then outputs the predicted classification label for that image. Scientists, engineers, and researchers who develop or apply deep learning models in MATLAB can use this to leverage existing TensorFlow models.

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Use this if you have a TensorFlow image classification model and want to integrate and use it within your MATLAB deep learning workflows.

Not ideal if you are exclusively working within the TensorFlow ecosystem and do not use MATLAB for your deep learning applications.

deep-learning image-classification MATLAB model-conversion computer-vision
Stale 6m No Package No Dependents
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Last pushed

Mar 25, 2022

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