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My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2) October 2017 cohort.

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fastai_notes

I am accepted for the International Fellowship offered by fast.ai (University of San Francisco) to attend the Deep Learning Class (v2) October 2017 cohort. This class is taught by Jeremy Howard and Rachel Thomas.

I am currently attending the program remotely from India. This repository contains all my classnotes, experiments, reproducible notebooks for various Kaggle / AI / Computer Vision Challenges.

Contact Me

I tweet about the stuff I find exciting and valuable in ML / AI space on my Twitter Handle. Incase you'd like to reach out to me, please send me a tweet on Twitter or write me a message on LinkedIn.

Incase you have a query / find a bug in my source code, please raise an issue. I'll fix it asap! Thanks.

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My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2) October 2017 cohort.

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  • Jupyter Notebook 99.6%
  • Python 0.4%