Deep Learning Course (NYU, Spring 2020) - Supervised and self-supervised transfer learning (with PyTorch Lightning)

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What you'll learn

This course includes

42.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

Deep Learning Yann LeCun NYU PyTorch Lightning William Falcon Boltz transfer learning self-supervised supervised back-bone ResNet

Full Transcript

Spring 2020 website: http://bit.ly/pDL-home Spring 2020 playlist: http://bit.ly/pDL-YouTube Speaker: William Falcon & Alfredo Canziani From NYU Deep Learning, Fall 2020 course. 00:00:00 – Week 10 – Practicum 00:06:00 – Supervised and self-supervised transfer learning 00:18:43 – Supervised transfer learning with PyTorch 00:22:31 – Supervised transfer learning with Lightning – implementation 00:30:59 – Supervised transfer learning with Lightning – training 00:41:01 – Self-supervised transfer learning with Lightning 00:53:09 – Generalisation comparison 01:08:34 – Summary

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