Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3eJW8yT

Andrew Ng is an Adjunct Professor, Computer Science at Stanford University.

Kian Katanforoosh is a Lecturer, Computer Science at Stanford University.

To follow along with the course schedule and syllabus, visit:
http://cs230.stanford.edu/

Chapters:
0:00 Intro
3:30 Why is deep learning taking off
8:55 Tools of AI
12:50 Course Goals
19:37 Machine Learning Yearning
21:03 Class Overview
23:56 Machine Learning Deep Learning AI
28:06 Shopping Mall vs Internet Company
35:28 Agile vs Waterfall
37:08 Which classes should you take
39:21 Machine Learning vs CS230
42:28 Common Sequence
43:48 Most Meaningful Successes
46:48 Course Format
48:52 Course Structure
51:50 Course Life
54:00 Multimeter
54:21 Grading formula
55:08 Programming assignments
56:29 Object detection
57:11 Demonstration
57:51 Other Projects

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