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Q3 P 2 by husnain.ali.arshad is a document available to read on EtoBox.

What is Q3 P 2 about?

The document outlines a Jupyter notebook for training custom CNN and ViT models on the CIFAR-10 dataset, specifically focusing on classifying cats and dogs. It includes data preprocessing, model definitions, training procedures, and evaluation metrics. The results show the performance of different models over multiple epochs, highlighting training times and accuracy rates.

Author

husnain.ali.arshad

Language

EN