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1
Intro
2
Why is deep learning taking off
3
Tools of AI
4
Course Goals
5
Machine Learning Yearning
6
Class Overview
7
Machine Learning Deep Learning AI
8
Shopping Mall vs Internet Company
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Agile vs Waterfall
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Which classes should you take
11
Machine Learning vs CS230
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Common Sequence
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Most Meaningful Successes
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Course Format
15
Course Structure
16
Course Life
17
Multimeter
18
Grading formula
19
Programming assignments
20
Object detection
21
Demonstration
22
Other Projects
Description:
Explore the foundations of deep learning in this comprehensive lecture from Stanford University's CS230 course. Delve into why deep learning is gaining prominence, understand essential AI tools, and grasp the course's objectives. Learn about Machine Learning Yearning and gain insights into the differences between machine learning and deep learning. Discover how AI applications vary between traditional businesses and internet companies, and understand the contrast between Agile and Waterfall methodologies. Get guidance on course selection, explore the common sequence of AI-related classes, and hear about meaningful successes in the field. Familiarize yourself with the course format, structure, and daily life, including grading formulas and programming assignments. Witness demonstrations of object detection and learn about various project opportunities in this informative session led by Andrew Ng and Kian Katanforoosh.

Deep Learning - Class Introduction and Logistics - Lecture 1

Stanford University
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