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 ...

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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 #andrewng #deeplearning

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