Inspiration

GDIT and a passion for machine learning.

What it does

Compares two pre-trained DLNs via performance in accuracy.

How we built it

DLNs were pre-trained but implemented via CoreMl, Xcode, iPhone Simulator in conjuction with Keras

Challenges we ran into

Organizing data provided by the two DLN models.

Accomplishments that we're proud of

Being able to analyze Image Classification accuracy with an iPhone SImulator

What we learned

Learning about machine learning techniques and being able to analyze deep learning network performances.

What's next for GDIT Image Classification

Transfer learning between models to increase human recognition.

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