Poyu123/CNN-application-on-CRFAR10-picture-distinguish
A hands-on TensorFlow image recognition project teaching a computer to identify 10 everyday objects, originally for a linear algebra class, with tools to train a CNN, auto-tune settings, and test accuracy on random internet images.
This project helps you teach a computer to identify 10 everyday objects like cars, cats, and birds from images. You provide a set of labeled pictures, and the system trains a model to recognize these objects, then outputs predictions on new images, showing what the computer 'sees'. This is ideal for anyone interested in understanding or building basic image recognition systems.
Use this if you want a hands-on experience building and testing an image classification system for common objects.
Not ideal if you need to classify images beyond the 10 predefined categories or require a production-ready system for complex real-world applications.
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Language
Python
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Last pushed
Mar 20, 2026
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