Deep Learning Course (NYU, Spring 2020) - Matrix multiplication, signals, and convolutions

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8 learners

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 convolutional neural networks CNN ConvNet locality stationarity sparsity parameter sharing kernels

Full Transcript

Spring 2020 website: http://bit.ly/pDL-home Spring 2020 playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani From NYU Deep Learning, Fall 2020 course. 00:00:00 – Week 5 – Practicum 00:00:28 – Table of contents 00:01:13 – Matrix multiplication recap 00:15:13 – Natural signals 00:21:17 – Extension to natural signals 00:36:49 – Playing with IPython and PyTorch

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