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CIFAR-10 CNN Classifier

This project demonstrates a CNN-based approach to classify images from the CIFAR-10 dataset using TensorFlow and Keras.

How to Run

  1. Install dependencies:
    pip install -r requirements.txt

Summary

The trained model reached a test accuracy of over 89% with a relatively simple model-structure and only minor overfitting due to different regularization techniques like Dropout, and EarlyStopping. But there is still a lot of optimization potential.