Optimizing Machine Learning Model.

Machine Learning algorithms and their learning model are often time and computing resource intensive. A large amount of data/visuals need to be fed to make the algorithm accurate. This often is a problem especially when hardware resources and time are limited.

We came across this problem for one of our projects. However, no concrete solutions were available and that is when Dishant took over the research to solve it. A solution that would require significantly fewer visuals to train a machine learning model to much higher accuracy. Fewer visuals meant less computing resources and shorter training time.

You can read Dishant's post along with the research paper and GitHub repository here...

Surround yourself with people smarter than you are.

I do that with team mates like Dishant.

Reach out to us if you wish our team to work on your problem and convert it into a success story. We are seeking our next problem statememnt to solve!