전형규
전금선
리상벽
리춘히
전성히
Damheo Lee (Hurss) hurss
hurss
/ yaminjeongeum.user.js
Last active
October 11, 2017 14:12
— forked from foriequal0/yaminjeongeum.user.js
브라우저의 모든 텍스트를 야민정음으로 바꿔줍니다 (forked from foriequal0)
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| // modified by glizzy (8/25/2017) | |
| // 브라우저에 GreaseMonkey(Firefox) TamperMonkey(Chrome) 을 설치하고, | |
| // https://gist.github.com/foriequal0/154e73d3289d808e8ce94603f5eff6a4/raw/yaminjeongeum.user.js | |
| // 위 링크를 브라우저에 입력하면 자동으로 스크립트를 설치하겠느냐는 창이 뜹니다. | |
| // ==UserScript== | |
| // @name yaminjeongeum | |
| // @namespace yaminjeongeum.kr | |
| // @description 야민정음 |
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| Sub 매크로1() | |
| ' | |
| ' Excel 세로줄 붙여넣기 | |
| ' | |
| ' 바로 가기 키: Ctrl+E | |
| ' | |
| Selection.Copy | |
| ActiveCell.Offset(1, 0).Select | |
| Range(Selection, Selection.End(xlDown).Offset(-1, 0)).Select | |
| ActiveSheet.Paste |
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| // Javascript for GreaseMonkey(Firefox) TamperMonkey(Chrome) | |
| // cited from foriequal0/yaminjeongeum.user.js | |
| // ==UserScript== | |
| // @name textreplacer | |
| // @namespace textreplacer.kr | |
| // @description 연합뉴스용 한자 변환기 | |
| // @include * | |
| // @exclude file://* | |
| // @version 1 |
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| 10t [열톤] 10t [십톤] | |
| 1kg [한키로그람] 1kg [일킬로그램] | |
| 2마디분포 이항분포 | |
| 2중완충 더블 버퍼링 | |
| 3.14 [사밀싸] 3.14 [삼일싸] | |
| 3.1인민봉기 3.1운동 | |
| 3극소자 트랜지스터 | |
| 4.19인민봉기 4.19혁명 | |
| 5분전 2시 2시 5분전 | |
| 70돐을 [일흔돌슬] 70주년을 |
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| ============================== | |
| Unique Surnames in North Korea | |
| 계(桂) | |
| 궁(弓) | |
| 독고(獨孤) | |
| 동(董) | |
| 뢰(雷)* | |
| 만(萬)* | |
| 묵(墨)* |
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| Code Hanja Hangul | |
| \u9fa6 龦 상 | |
| \u9fa7 龧 서 | |
| \u9fa8 龨 회 | |
| \u9fa9 龩 근 | |
| \u9faa 龪 점,부 | |
| \u9fab 龫 간,알 | |
| \u9fac 龬 망 | |
| \u9fad 龭 이 | |
| \u9fae 龮 기 |
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| // ==UserScript== | |
| // @name Text Replacement | |
| // @namespace Text Replacement | |
| // @description 연합뉴스용 간체자/약자/확장한자 변환기 | |
| // @include * | |
| // @exclude file://* | |
| // @version 1 | |
| // @grant none | |
| // @author Damheo Lee ([email protected]) | |
| // @run-at Tampermonkey (Greasemonkey) 설치후 사용 |
hurss
/ TensorflowTest.py
Created
September 3, 2018 10:44
Get Started with Tensorflow for Tensorflow 1.7.0
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| import tensorflow as tf | |
| mnist = tf.keras.datasets.mnist | |
| (x_train, y_train),(x_test, y_test) = mnist.load_data() | |
| x_train, x_test = x_train / 255.0, x_test / 255.0 | |
| # ValueError in here | |
| # The first layer in a Sequential model must get an `input_shape` argument. | |
| # MNIST data has the array with shape 28 by 28 tuple | |
| # put 60K array into 1D-convolution layer |