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Coursera/Deep Learning Specialization

[Deep-Special] [Lec1] Week4. Deep Neural Network

by Steve-Lee 2020. 11. 10.

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

ํ•™์Šต ๋ชฉํ‘œ

  • Describe the successive block structure of a deep neural network
  • Build a deep L-layer neural network
  • Analyze matrix and vector dimensions to check neural network implementations
  • Use a cache to pass information from forward to back propagation
  • Explain the role of hyperparameters in deep learning

 

1. Deep L-layer neural network

  • ์ง€๊ธˆ๊นŒ์ง€ ์šฐ๋ฆฌ๋Š” ์‹ฌ์ธต์‹ ๊ฒฝ๋ง์„ ๊ตฌํ˜„ํ•˜๊ธฐ ์œ„ํ•œ ์•„์ด๋””์–ด๋ฅผ ๋ฐฐ์› ์Šต๋‹ˆ๋‹ค
  • ์ด๋ฒˆ์ฃผ์˜ ๊ฒฝ์šฐ ์—ฐ์Šต ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š”๋ฐ ๋” ์˜ค๋žœ ์‹œ๊ฐ„์ด ๊ฑธ๋ฆด๊ฑฐ์—์š” ^^
  • ํ•˜์ง€๋งŒ ๊ณผ์ œ๋ฅผ ๋งˆ์น˜๊ณ  ๋‚˜๋ฉด ์ˆ˜๋ฃŒ์ฆ๊ณผ ํ•จ๊ป˜... ๊ฐ๋™์˜ ๋ฌผ๊ฒฐ์ด ๋ฐ€๋ ค์˜ต๋‹ˆ๋‹คใ…Žใ…Ž

What is a deep neural network?

๋”ฅ ๋‰ด๋Ÿด ๋„คํŠธ์›Œํฌ๋ž€ ๋ฌด์—‡์ธ๊ฐ€?

์ง€๊ธˆ๊นŒ์ง€ ์‹ ๊ฒฝ๋ง์œผ๋กœ Logistic Regression๊ณผ 2-Layer Neural Network๋ฅผ ๋ฐฐ์› ์Šต๋‹ˆ๋‹ค. ์กฐ๊ธˆ ๋” ๊นŠ๊ฒŒ ์Œ“์„ ์ˆ˜๋Š” ์—†์„๊นŒ์š”?? 

  • logistic regression
  • 1 hidden layer
  • 2 hidden layer
  • 5 hidden layer

hidden layer๋ฅผ ๋” ๊นŠ๊ฒŒ ์Œ“์•„ ๊นŠ์€ ์‹ ๊ฒฝ๋ง(Deep Learning)์„ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค

 

Week4๋Š” ๊ตฌํ˜„ ๊ณผ์ œ(Programming)์ด ํ•ต์‹ฌ์ด๊ธฐ ๋•Œ๋ฌธ์— ์ •๋ฆฌ๋…ธํŠธ๋ณด๋‹ค๋Š” ๊ตฌํ˜„ ๊ณผ์ œ์— ๋Œ€ํ•œ ํ›„๊ธฐ๋ฅผ ์ค‘์ ์ ์œผ๋กœ ๋‚จ๊ฒจ๋ณด๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค!

 

Reference

  • Coursera - Neural Networks and Deep Learning
 

์‹ฌ์ธต ํ•™์Šต

Learn Deep Learning from deeplearning.ai. If you want to break into Artificial intelligence (AI), this Specialization will help you. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.

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