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Coursera/Deep Learning Specialization

[Deep-Special] [Lec1] Week1. Neural Networks and Deep Learning

by Steve-Lee 2020. 11. 2.

๐Ÿ“” [Lec1] Neural Networks & Deep Learning

Deep Learning Specialization

a.k.a Deep Learning ์ „๋ฌธ๊ฐ€ ๊ณผ์ •

์ „๋ฌธ๊ฐ€ ๊ณผ์ •์€ 5๊ฐœ์˜ ๊ฐ•์ขŒ๋กœ ๋‚˜๋‰˜์–ด์ ธ์žˆ์Šต๋‹ˆ๋‹ค. 

1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
3. Structuring Machine Learning Projects
4. Convolutional Neural Networks
5. Sequence Models

๐Ÿ•ต๐Ÿผ‍โ™‚๏ธ ์ง€๊ธˆ๋ถ€ํ„ฐ 4์ฃผ ๋™์•ˆ์€ '1. Neural Networks and Deep Learning'์— ๋Œ€ํ•ด ํ•™์Šตํ•˜๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

๐Ÿ—“๏ธ (from. Nov.02.mon ~ to. Nov.30.mon)

1์ฃผ ์ฐจ ๊ฐœ์š”

  • Discussion Forum
  • Introduction
  • Goal of the Week
  • Practice Question(Due data - 11.02.)

 

1์ฃผ ์ฐจ๋Š” ์ด๋ ‡๋‹ค ํ•  ๋‚ด์šฉ์ด ์—†๋‹ค.

 

 

 

1์ฃผ์ฐจ ์ฃผ์š” ๋‚ด์šฉ

  • What Is a Neural Net?
  • Supervised learning with Neural Net
  • Why is Deep Learning taking off? (์™œ ๋”ฅ๋Ÿฌ๋‹์ด ํฅํ•˜๊ณ  ์žˆ๋Š”๊ฐ€?)
  • Coursera ๊ฐ•์˜ ๊ทœ์น™
    • ๋ช…์˜ˆ ๊ทœ์œจ - ์ž์‹ ์ด ์ž‘์„ฑํ•œ ๋‚ด์šฉ๋งŒ ์ œ์ถœํ•  ๊ฒƒ. ๋‹ค๋ฅธ ์‚ฌ๋žŒ๊ณผ ๋‹ต์„ ๊ณต์œ ํ•˜์ง€ ๋ง ๊ฒƒ. ์˜์‹ฌ๋˜๋Š” ์œ„๋ฐ˜ ์‚ฌํ•ญ์€ ์‹ ๊ณ ํ•  ๊ฒƒ
  • Test
  • Discussion Forum

 

1์ฃผ์ฐจ์—์„œ๋Š” ์•ž์œผ๋กœ ์šฐ๋ฆฌ๊ฐ€ ๋ฐฐ์šธ ๋‚ด์šฉ์€ ๋ฌด์—‡์ธ์ง€. ์•ž์œผ๋กœ ์–ด๋–ค ๊ทœ์น™๋“ค์„ ์ค€์ˆ˜ํ•ด ๋‚˜๊ฐ€์•ผ ํ•˜๋Š”์ง€์— ๋Œ€ํ•œ ์†Œ๊ฐœ๋ฅผ ํ•œ๋‹ค. 30๋ถ„๊ฐ€๋Ÿ‰์˜ ์‹œ๊ฐ„์ด ์†Œ์š”๋˜๋Š” ๊ฐ„๋‹จํ•œ ํ…Œ์ŠคํŠธ๋ฅผ ์น˜๋ฅด๋ฉฐ ๊ฐ•์˜ ๋„์ค‘ ๋ชจ๋ฅด๋Š” ๋‚ด์šฉ์ด ์žˆ์„ ์‹œ ์–ธ์ œ๋“ ์ง€ ๋ฌธ์˜ํ•  ์ˆ˜ ์žˆ๋Š” Discussion Forum์„ ์†Œ๊ฐœํ•œ๋‹ค.

 

1์ฃผ ์ฐจ ํด๋ฆฌ์–ด!

๋Œ“๊ธ€