mamemo/CNN-Binary-Classification
This project is meant to work as a template for a binary CNN classification problem
This project provides a foundational structure for anyone looking to develop a deep learning model that sorts items into two distinct categories based on image data. It takes in your collection of images and associated labels, then outputs a trained model that can classify new images, along with performance reports. This is ideal for machine learning engineers or data scientists who need a jumpstart for custom image classification tasks.
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Use this if you need a pre-configured template to quickly build and experiment with a Convolutional Neural Network (CNN) for problems where you need to categorize images into one of two groups.
Not ideal if your classification problem involves more than two categories, or if you are not comfortable with Python and machine learning development.
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13
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3
Language
Python
License
MIT
Category
Last pushed
Dec 08, 2022
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