Chapter 1 (Tue)

Presentation Table

	Part	Page	Speaker 1	Speaker 2
1	Deep Learning Is for Everyone	3	김혁	송석리
1	How to Learn Deep Learning	12	김혁	송석리
2	The Software: PyTorch, fastai, and Jupyter (And Why It Doesn’t Matter)	12	김용현	김민철
2	Running Your First Notebook	20	김용현	김민철
3	What Is Machine Learning?	20	강인승
3	Limitations Inherent to ML	26	강인승
4	How Our Image Recognizer Works	26	김지은
4	What Our Image Recognizer Learned	36	김지은
5	Image Recognizers Can Tackle Non-Image Tasks	36	김지은
5	Deep Learning Is Not Just for Image Classification	48	김지은
6	Validation Sets and Test Sets	48
6	A Choose Your Own Adventure Moment	54

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1-1. Deep Learning Is for Everyone

1-2. How to Learn Deep Learning

Script

2-1. The Software: PyTorch, fastai, and Jupyter (And Why It Doesn’t Matter)

2-2. Running Your First Notebook

Script

3-1. What Is Machine Learning?

3-2. Limitations Inherent to ML

Script

4-1. How Our Image Recognizer Works

4-2. What Our Image Recognizer Learned

Script

5-1. Image Recognizers Can Tackle Non-Image Tasks

5-2. Deep Learning Is Not Just for Image Classification

Script

6-1. Validation Sets and Test Sets

6-2. A Choose Your Own Adventure Moment

Script