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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
About
project for advanced data science class. Uses Tensorflow to classify a breed of dog based on an image.
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