Log in
Dipanjan Sarkar
Dipanjan (DJ) Sarkar is a Data Science Lead at Applied Materials, leading advanced analytics efforts around computer vision, natural language processing and deep learning. He is also a Google Developer Expert in Machine Learning. He has also been recently recognized as one of the Top Ten Data Scientists in India, 2020 by Analytics India Magazine & TechGig. Dipanjan has advised and worked with several startups as well as Fortune 500 companies like Intel and Open Source organizations like Red Hat (now IBM). He primarily works on leveraging data science, machine learning and deep learning to build large- scale intelligent systems and evangelizing data science to the community. Dipanjan is also a published author, having authored several books on R, Python, Machine Learning, Natural Language Processing, and Deep Learning.
Applied Materials, IndiadipanjanS
Deep Transfer Learning for Computer Vision
ML conf EU 2020ML conf EU 2020
8 min
Deep Transfer Learning for Computer Vision
Chip and equipment manufacturing and tracking is a tough task given the strict adherence to quality standards and processes like six-sigma control checks. In this session, we will be looking at key real-world problems from Semiconductor
&
Manufacturing, and possible methodologies where we leveraged a combination of traditional computer vision techniques and coupled it with the power of deep transfer learning and machine \ deep learning. We will be covering two main use-cases from the Industry:
Automatic Defect detection at Nanoscale
Defect Clustering at Nanoscale


machine learning