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 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