Deep Learning Course (NYU, Spring 2020) - Week 1 – Practicum: Classification, linear algebra, and visualisation

Course website: http://bit.ly/DLSP20-web Playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani Week 1: http://bit.ly/DLSP20-01 0:00:00 – Week 1 – Practicum PRACTICUM: http://bit.ly/DLSP20-01-3 We discuss the motivation for applying transformations to data points visualized in space. We talk about Linear Algebra and the application of linear and non-linear transformations. We discuss the use of visualization to understand the function and effects of these transformations. We walk through examples in a Jupyter Notebook and conclude with a discussion of functions represented by Neural Networks. 0:03:53 – Problem Motivation and Linear Algebra 0:13:18 – Data Visualization - Separating Points by Color Using a Network 0:28:13 – Random Projections - Jupyter Notebook