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Training accuracy of our code.
Inspiration
we read a research paper on artifacts on which machine learning is applied.
What it does
It classifies the artifacts into different categories like Basket,Figure and coin.
How we built it
We built it with the help of machine learning frameworks and libraries like numpy,keras etc.
Challenges we ran into
To find a dataset is very challenging for me and my team-mates.
Accomplishments that we're proud of
We are proud that we had completed the whole project which we have seen in our prototype.
What we learned
Me and my team learned that how to phase a challenge and how to work with machine learning
What's next for Day 5 challenge
we are planning to build the image regeneration of artifacts with the help of this project and dataset.
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