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For Quick readers : the presentation with the method and results is in this file : Data Challenge presentation.pptx
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For Code readers : please find the notebook as Data Challenge - notebook.ipynb
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For Technical readers : you will find the report with the all the needed details as Data_Challenge Report.pdf
The goal of the challenge, sponsored by STMicroelectronics (a global semiconductor company that produces electronic components) in Kaggle, is to build a deep learning model to classify images of errors in silicon wafers using a database of 8634 microscopic images of wafers.
- Ranked 3rd in the leaderboard with an accuracy of 98% (private score)
- 69 ms for inference time on GPU