Deep Learning Image Classifier

Overview

This image classification project explores convolutional neural networks for recognizing visual categories from image data. It focuses on a clean training loop, organized experiment flow, and model behavior that can be evaluated and iterated with confidence.

Highlights

• CNN training pipelinePyTorch is used to build and train the classifier with a clear model workflow.
• Image preprocessingInput preparation is structured for consistent model performance.
• Evaluation focusPredictions and results are reviewed to understand accuracy and next improvements.