codestates / codestates/ds-TIL

[TIL] 김가연_201221

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DSFT01
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Description

- **키워드**
- 딥러닝

- **배운 것**
- 딥러닝의 기본 개념들(layer, node, epoch, activation function, weight, bias, perceptron)

- **어려웠던 부분**
- 오늘은 어렵지 않았지만 앞으로 어려워질 것이라는 게 확 느껴지는 하루였다.

- **더 알고 싶은 부분 / 공부하고 싶은 부분**
- ADAM optimizer의 수학적 이해

- **느낀 점**
- 이곳저곳에서 들어본 탓에 머릿 속에 조각조각 나뉘어 있는 기억들을 끌어모아 수업을 들었다. 이제 조금 퍼즐이 맞춰지는 느낌이다.

Contributor guide

No contributing guide indexed for this repository

Research direction

No repository file, test, or entry point is named. Read the issue as a Korean TIL submission covering deep-learning basics and the ADAM optimizer, then check the repository's TIL contribution format and whether this entry should be retained as content. The issue does not define what completion looks like.

Written by the indexing model from the issue text.

Assessment

Tech stack
machine-learning
Domain
content
Issue type
Documentation
Difficulty
1/5
Estimated time
Under an hour
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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