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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