Lecture 1 - Introduction and Logistics

Lecture 1 of the online course Deep Learning Systems: Algorithms and Implementation. This lecture covers a basic introduction to the topics covered by this course, including why you may want to study deep learning systems (even if you don't intent to build your own), and the basic logistics of the course. Sign up for the course for free at http://dlsyscourse.org. Contents: 00:00 - Introduction 01:37 - Aim of this course 03:21 - Why study deep learning? 11:26 - Not (just) for the big players 14:14 - Why study deep learning systems 18:48 - Working on deep learning ten years ago 21:40 - Reason #1: To build deep learning systems 23:22 - Reason #2: To use existing systems more effectively 25:20 - Reason #3: Deep learning systems are fun! 29:05 - Course instructors 33:43 - Course disclaimer 35:19 - Learning objectives of course 37:17 - Tentative schedule of topics 38:59 - Prerequisites 44:54 - Components of course 46:44 - Video lectures 48:11 - Programming homework assignments 52:25 - Final project 54:08 - Class forum 56:39 - Parting words