CECS 456 Deep Learning Project

Authors: Melody Gatan & Matthew Nguyen
Course: CECS 456 - Deep Learning
Date: December 5, 2025

Comparison of VGG16 and ResNet50 architectures on Animals10 dataset.

How to Run

1. Open VGG16_Animals10.ipynb or RestNet.ipynb in Google Colab
2. Change runtime to GPU: Runtime → Change runtime type → Select T4 GPU or A100 GPU
3. Run the first cell to download the dataset (you'll need to upload your kaggle.json file)
   • Get kaggle.json from: https://www.kaggle.com/settings → API → "Create New Token"
4. Run all remaining cells

Results

• VGG16: 85.06% test accuracy
• ResNet50: 91.73% test accuracy

Full report: CECS456_project.pdf