- Austin Vargason
- Klaudia Hernandez
- Brandon Arevalo
- Research Image recognition in Tensorflow (using Keras in Python)
- Analyze the dataset
- in a jupyter notebook load in the dataset and figure out trends or issues in the provided set
- handling the dataset the tensorflow (possibly normalize using an existing image recognition model)
- make sure only dogs accepted
- Normalizing the Dataset
- Look into possible feature reduction in the dataset
- how to sort out different images (multiple resolutions, lighting conditions)
- handling outliers (filtering or modifying)
- Design the model
- parameter optimization
- actual model structure (how many layers, etc.)
- Performance
- google collab?
- running on a GPU (CUDA)?
- other general optimizations
- Complete Progress report