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Classification of worm pictures into two classes, in Matlab using Trasnfer Learning and CNN.

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Worm_Classification

This simple project is a final task in course Deep Learning Onramp on MathWorks.

Idea

The task of the project is to distinguish between live and dead worms. The code is based on the action of the convolutional neural network (CNN) -Googlenet. Transfer Learning was used in the project. The Googlenet network was modified for the worm photo classification task with the Deep Network Designer in Matlab. All the necessary files are available on the course website.

Course

Link: https://matlabacademy.mathworks.com/details/deep-learning-onramp/deeplearning

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Classification of worm pictures into two classes, in Matlab using Trasnfer Learning and CNN.

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