์ „์ฒด ๊ธ€ 41

Streamlit ์†Œ๊ฐœ ๋ฐ ํŠœํ† ๋ฆฌ์–ผ

Streamlit์˜ ์žฅ์ 1. ๋‹ค๋ฅธ ์กฐ์ง์˜ ๋„์›€ ์—†์ด ๋น ๋ฅด๊ฒŒ ์›น์„œ๋น„์Šค๋ฅผ ๋งŒ๋“œ๋Š” ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉ ๊ฐ€๋Šฅ2. ๋‹ค์–‘ํ•œ Component๋ฅผ ์ œ๊ณตํ•ด ๋Œ€์‹œ๋ณด๋“œ UI๋ฅผ ๊ตฌ์„ฑํ•  ์ˆ˜ ์žˆ์Œ Streamlit ์„ค์น˜ํ•˜๊ธฐpip install streamlit==1.36.0 Streamlit ํ…์ŠคํŠธ ์ž…๋ ฅํ•˜๊ธฐimport streamlit as st # Streamlit Text ์ž‘์„ฑst.title("์ œ๋ชฉ")st.header("ํ—ค๋”")st.subheader("์„œ๋ธŒํ—ค๋”")st.write("๊ทธ๋ƒฅ ๊ธ€์”จ") ์‚ฌ์šฉ์ž์˜ ์ž…๋ ฅ ๋ฐ›๊ธฐ## ํ…์ŠคํŠธ ์ž…๋ ฅ๋ฐ›๊ธฐtext = st.text_input("์‚ฌ์šฉ์ž์—๊ฒŒ ๋„์šธ ๋ฉ”์„ธ์ง€") ## ex) ์ž…๋ ฅํ•ด์ฃผ์„ธ์š”pw = st.text_input("ํŒจ์Šค์›Œ๋“œ ์ž…๋ ฅ", type="password") num = st.number_i..

[๋…ผ๋ฌธ ๋ฆฌ๋ทฐ] AutoRec: Autoencoders Meet Collaborative Filtering

๋…ผ๋ฌธ ๋งํฌhttps://share.google/23LvUEkOosef6zq68 01. ๊ธฐ์กด์˜ ํ˜‘์—… ํ•„ํ„ฐ๋ง ๊ธฐ๋ฐ˜ ๋ชจ๋ธ a. ๋ชฉํ‘œ : ๊ฐœ์ธํ™”๋œ ์ถ”์ฒœ ์ œ๊ณต์„ ๋ชฉ์ ์œผ๋กœ ์‚ฌ์šฉ์ž ์„ ํ˜ธ ์ •๋ณด๋ฅผ ํ™œ์šฉํ•˜์ž b. ๋ฐฉ๋ฒ• - matrix factorization (ํ–‰๋ ฌ ๋ถ„ํ•ด) ๋ฐฉ๋ฒ• - neighbourhood models - Rating-based Collaborative Filtering - ์‚ฌ์šฉ์ž ๋ฒกํ„ฐ : r(u)=(Ru1โ€‹,Ru2โ€‹,…,Runโ€‹)∈Rn ( u∈U={1,…,m} ) - ์•„์ดํ…œ : r(i)=(R1iโ€‹,R2iโ€‹,…,Rmiโ€‹)∈Rm ( i∈I={1,…,n}i \in I = \{1, \dots, n\}i∈I={1,…,n} ) 02. Autoencoder: ..

[๋…ผ๋ฌธ ์ •๋ฆฌ] Implementation of DNN-based real-time voice conversion and itsimprovements by audio data augmentation and mask-shaped device

๋…ผ๋ฌธ ๋งํฌ https://www.semanticscholar.org/paper/Implementation-of-DNN-based-real-time-voice-and-its-Arakawa-Takamichi/fd5d3be9e8e293cce5b56f55de37af3d9734e0f4 www.semanticscholar.org DNN ๊ธฐ๋ฐ˜์˜ voice conversion system: 3๊ฐ€์ง€ ๋‹จ๊ณ„ (Analysis → Conversion → Synthesis)๋ฅผ ๊ฑฐ์ณ ์‹œ์Šคํ…œ ๊ตฌํ˜„ [ ์ž์„ธํ•œ ์‹œ์Šคํ…œ ๊ตฌ์กฐ ]1. Analysis์ž…๋ ฅ ์Œ์„ฑ์—์„œ Mel-Cepstral Coefficients, ์Œ๋ ฅ, ์ „๋ ฅ, ์ถ”์ถœFFT Mel-Cepstral Coefficients ๋ถ„์„ ⇒ ๊ณ ์„ฑ๋Šฅ ์ŠคํŽ™ํŠธ๋Ÿผ ๋ถ„์„๊ธฐ ์‚ฌ์šฉ์œผ๋กœ ์ธํ•œ ๋†’์€ ๊ณ„์‚ฐ๋Ÿ‰..

PyTorch ์†Œ๊ฐœ

[ PyTorch ์†Œ๊ฐœ ]01. Pytorch๋ž€?: ํŽ˜์ด์Šค๋ถ (FAIR) ์—์„œ ๊ฐœ๋ฐœํ•œ ์‹ ๊ฒฝ๋ง ๊ตฌ์ถ•์— ์‚ฌ์šฉ๋˜๋Š” ์†Œํ”„ํŠธ์›จ์–ด ๊ธฐ๋ฐ˜ ์˜คํ”ˆ ์†Œ์Šค ๋”ฅ ๋Ÿฌ๋‹ ํ”„๋ ˆ์ž„์›Œํฌ์žฅ์ ๋ฉ€ํ‹ฐ ํ”Œ๋žซํผ ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์ธํ„ฐํŽ˜์ด์Šค๋™์  ๊ณ„์‚ฐ ๊ทธ๋ž˜ํ”„ : ์‚ฌ์ „์— ๊ตฌ์„ฑํ•œ ๋‹ค์Œ ์‹คํ–‰ ์‹œ, ์„ธ์…˜ ์‹คํ–‰์„ ํ•˜์ง€ ์•Š๊ณ , ๊ตฌ์ฒด์ ์ธ ๊ฐ’์„ ์ฆ‰์‹œ ๋ฐ˜ํ™˜์ปค๋ฎค๋‹ˆํ‹ฐ, ์ƒํƒœ๊ณ„๊ฐ€ ๋งŽ๊ณ , ํ™œ๋ฐœํžˆ ์šด์˜๋จ์‚ฌ์ „ ํ•™์Šต๋œ ๋ชจ๋ธ๋“ค์„ ์–ป์„ ์ˆ˜ ์žˆ์Œ์—ฌ๋Ÿฌ ์ „๋ฌธ๊ฐ€๋“ค๋กœ ๋ถ€ํ„ฐ ๋„์›€์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Œํ”Œ๋žซํผ ์˜ˆ์‹œhttp://tutorials-pytorch-kr.webpkgcache.com/doc/-/s/tutorials.pytorch.kr/https://github.com/PyTorchKoreahttps://pytorch.kr/ํ™•์žฅ์„ฑ์ด ๋›ฐ์–ด๋‚จ : ๋‹ค์–‘ํ•œ ๊ทœ๋ชจ์˜ ํ”„๋กœ์ ํŠธ๊ฐ€ ๊ฐ€๋Šฅ๋‹จ์ ๋ชจ๋ฐ”์ผ, ์›น ๋“ฑ ๋ฐฐํฌ๊ฐ€ ..

[Winter Blog Challenge] tensorboard ์‚ฌ์šฉ๋ฒ•

์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜ŠGDGoC member ์ด๊ฐ€ํ˜„ ์ž…๋‹ˆ๋‹ค. ์ €๋Š” ๋”ฅ๋Ÿฌ๋‹ ํ”„๋กœ์ ํŠธ์—์„œ ํ•™์Šต ๊ณผ์ •์„ ์ง๊ด€์ ์œผ๋กœ ๋ชจ๋‹ˆํ„ฐ๋งํ•  ์ˆ˜ ์žˆ๋Š” ๋„๊ตฌ, TensorBoard์˜ ํ™œ์šฉ๋ฒ•์— ๋Œ€ํ•ด ์†Œ๊ฐœํ•ด๋“œ๋ฆฌ๋ ค ํ•ฉ๋‹ˆ๋‹ค.Tensorboard๋ฅผ ๋จผ์ € ์†Œ๊ฐœ ๋“œ๋ฆฌ๊ณ , ๋”ฅ๋Ÿฌ๋‹์—์„œ ์‚ฌ์šฉํ•˜๋Š” ์˜ˆ์‹œ, ๋จธ์‹ ๋Ÿฌ๋‹์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์˜ˆ์‹œ๋ฅผ ์†Œ๊ฐœํ•ด๋“œ๋ฆฌ๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค !TensorBoard ๋ž€?Tensorflow๊ฐ€ ์ œ๊ณตํ•˜๋Š” ํ•™์Šต ๊ณผ์ • ์‹œ๊ฐํ™” ๋„๊ตฌ๋กœ, ํ•™์Šต ์ค‘์— ๋ฐœ์ƒํ•˜๋Š” Loss, Accuracy, Gradient ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ๋กœ๊ทธ๋ฅผ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๊ทธ๋ž˜ํ”„ ํ˜•ํƒœ๋กœ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋„๋ก ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ํ•™์Šต ์ง€ํ‘œ๋“ค์„ ๊ทธ๋ž˜ํ”„๋กœ ํ™•์ธ ํ•˜๋ฉด์„œ, ํ•™์Šต์ด ์ œ๋Œ€๋กœ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๋Š”์ง€ ํ™•์ธํ•  ์ˆ˜ ์žˆ๊ณ ,ํ•˜์ดํผํŒŒ๋ผ๋ฏธํ„ฐ ํŠœ๋‹ ํ›„, ์ด์ „ ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ•จ์œผ๋กœ์จ ํšจ๊ณผ์ ์ธ ์„ค์ • ์กฐํ•ฉ์„ ํƒ์ƒ‰ํ•˜๋Š”๋ฐ ๋„์›€์„..

[BDA ๋ธ”์ฑŒ] 16์ฃผ์ฐจ : ๋งˆ์ผ“์ปฌ๋ฆฌ ์ƒํ’ˆ ํ›„๊ธฐ ๋ถ„๋ฅ˜ ๋ชจ๋ธ ๊ฐœ๋ฐœ ๋ธ”๋กœ๊ทธ

์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜€โ€‹์ด๋ฒˆ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ํ•™ํšŒ BDA์˜ 16์ฃผ์ฐจ ๋ธ”์ฑŒ์—์„œ๋Š” ๋งˆ์ผ“ ์ปฌ๋ฆฌ ์ƒํ’ˆ ํ›„๊ธฐ ๋ถ„๋ฅ˜ ๋ชจ๋ธ ๊ฐœ๋ฐœ ๊ธฐ์ˆ  ๋ธ”๋กœ๊ทธ ํฌ์ŠคํŒ…์„ ๋ฆฌ๋ทฐ ํ•ด๋ณด๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค ! https://blog.naver.com/gahyun_1/223787138985 [BDA ๋ธ”์ฑŒ] 16์ฃผ์ฐจ : ๋งˆ์ผ“์ปฌ๋ฆฌ ์ƒํ’ˆ ํ›„๊ธฐ ๋ถ„๋ฅ˜ ๋ชจ๋ธ ๊ฐœ๋ฐœ ๋ธ”๋กœ๊ทธ์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜€์ด๋ฒˆ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ํ•™ํšŒ BDA์˜ 16์ฃผ์ฐจ ๋ธ”์ฑŒ์—์„œ๋Š” ๋งˆ์ผ“ ์ปฌ๋ฆฌ ์ƒํ’ˆ ํ›„๊ธฐ ๋ถ„๋ฅ˜ ๋ชจ๋ธ ๊ฐœ๋ฐœ ...blog.naver.com( ๋ธ”๋กœ๊ทธ์ฑŒ๋ฆฐ์ง€ ํฌ์ŠคํŒ… ํ”Œ๋žซํผ์ด ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ๋ผ ๋งํฌ๋กœ ๊ฒŒ์‹œํ•˜์˜€์Šต๋‹ˆ๋‹ค โ˜บ๏ธ)

[BDA ๋ธ”์ฑŒ] 15์ฃผ์ฐจ : Sequential ์„ ์‚ฌ์šฉํ•œ ๋”ฅ๋Ÿฌ๋‹ ์‹ ๊ฒฝ๋ง ์„ค๊ณ„

์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜€โ€‹์ด๋ฒˆ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ํ•™ํšŒ BDA์˜ 15์ฃผ์ฐจ ๋ธ”์ฑŒ์—์„œ๋Š” 1. ๋จธ์‹ ๋Ÿฌ๋‹๊ณผ ๋”ฅ๋Ÿฌ๋‹ ๋น„๊ต2. Sequential ์„ ์‚ฌ์šฉํ•œ ๋”ฅ๋Ÿฌ๋‹ ์‹ ๊ฒฝ๋ง ์„ค๊ณ„์— ๋Œ€ํ•ด์„œ ํฌ์ŠคํŒ…ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค! https://blog.naver.com/gahyun_1/223770089659 [BDA ๋ธ”์ฑŒ] 15์ฃผ์ฐจ : Sequential ์„ ์‚ฌ์šฉํ•œ ๋”ฅ๋Ÿฌ๋‹ ์‹ ๊ฒฝ๋ง ์„ค๊ณ„์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜€์ด๋ฒˆ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ํ•™ํšŒ BDA์˜ 15์ฃผ์ฐจ ๋ธ”์ฑŒ์—์„œ๋Š” 1. ๋จธ์‹ ๋Ÿฌ๋‹๊ณผ ๋”ฅ๋Ÿฌ๋‹ ๋น„๊ต 2. Seque...blog.naver.com ( ๋ธ”๋กœ๊ทธ์ฑŒ๋ฆฐ์ง€ ํฌ์ŠคํŒ… ํ”Œ๋žซํผ์ด ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ๋ผ ๋งํฌ๋กœ ๊ฒŒ์‹œํ•˜์˜€์Šต๋‹ˆ๋‹ค โ˜บ๏ธ)

[BDA ๋ธ”์ฑŒ] 14์ฃผ์ฐจ : ์•™์ƒ๋ธ” ๊ธฐ๋ฒ•

์•ˆ๋…•ํ•˜์„ธ์š” :)์ด๋ฒˆ 14์ฃผ์ฐจ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ํ•™ํšŒ BDA์˜ ๋ธ”๋กœ๊ทธ์ฑŒ๋ฆฐ์ง€๋Š” ์•™์ƒ๋ธ” ๋ชจ๋ธ์— ๋Œ€ํ•ด ํฌ์ŠคํŒ…ํ•˜๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค.โ€‹1. Voting2. BMA (Bayesian Model Averaging)3. Stacking  [BDA ๋ธ”์ฑŒ] 14์ฃผ์ฐจ : ์•™์ƒ๋ธ” ๊ธฐ๋ฒ•์•ˆ๋…•ํ•˜์„ธ์š” :) ์ด๋ฒˆ 14์ฃผ์ฐจ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ํ•™ํšŒ BDA์˜ ๋ธ”๋กœ๊ทธ์ฑŒ๋ฆฐ์ง€๋Š” ์•™์ƒ๋ธ” ๋ชจ๋ธ์— ๋Œ€ํ•ด ํฌ์ŠคํŒ…ํ•˜๋ ค๊ณ  ...blog.naver.com ( ๋ธ”๋กœ๊ทธ์ฑŒ๋ฆฐ์ง€ ํฌ์ŠคํŒ… ํ”Œ๋žซํผ์ด ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ๋ผ ๋งํฌ๋กœ ๊ฒŒ์‹œํ•˜์˜€์Šต๋‹ˆ๋‹ค โ˜บ๏ธ)

[BDA ๋ธ”์ฑŒ] 13์ฃผ์ฐจ : ARIMA๋ฅผ ์ด์šฉํ•œ ์‹œ๊ณ„์—ด ๋ถ„์„

์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜€โ€‹์ด๋ฒˆ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ํ•™ํšŒ BDA์˜ 13์ฃผ์ฐจ ๋ธ”์ฑŒ์—์„œ๋Š” ARIMA ๋ชจ๋ธ์„ ์ด์šฉํ•œ ์‹œ๊ณ„์—ด ๋ถ„์„์— ๋Œ€ํ•ด์„œ ํฌ์ŠคํŒ…ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค!  [BDA ๋ธ”์ฑŒ] 13์ฃผ์ฐจ : ARIMA๋ฅผ ์ด์šฉํ•œ ์‹œ๊ณ„์—ด ๋ถ„์„์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜€ ์ด๋ฒˆ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ํ•™ํšŒ BDA์˜ 13์ฃผ์ฐจ ๋ธ”์ฑŒ์—์„œ๋Š” ARIMA ๋ชจ๋ธ์„ ์ด์šฉํ•œ ์‹œ๊ณ„์—ด ๋ถ„...blog.naver.com ( ๋ธ”๋กœ๊ทธ์ฑŒ๋ฆฐ์ง€ ํฌ์ŠคํŒ… ํ”Œ๋žซํผ์ด ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ๋ผ ๋งํฌ๋กœ ๊ฒŒ์‹œํ•˜์˜€์Šต๋‹ˆ๋‹ค โ˜บ๏ธ)

[BDA ๋ธ”์ฑŒ] 12์ฃผ์ฐจ : ์‹œ๊ณ„์—ด ๋ถ„์„ (2)

์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜€โ€‹์ด๋ฒˆ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ํ•™ํšŒ BDA์˜ 12์ฃผ์ฐจ ๋ธ”์ฑŒ์—์„œ๋Š” ์‹œ๊ณ„์—ด ๋ฐ์ดํ„ฐ๋ฅผ ์ƒ์„ฑํ•˜๊ณ , ์‹ค์ œ๋กœ ์‹ค์Šตํ•˜๋Š” ์ฝ”๋“œ์— ๋Œ€ํ•ด์„œ ํฌ์ŠคํŒ…ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค!  [BDA ๋ธ”์ฑŒ] 12์ฃผ์ฐจ : ์‹œ๊ณ„์—ด ๋ถ„์„ (2)์•ˆ๋…•ํ•˜์„ธ์š”๐Ÿ˜€ ์ด๋ฒˆ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ํ•™ํšŒ BDA์˜ 12์ฃผ์ฐจ ๋ธ”์ฑŒ์—์„œ๋Š” ์‹œ๊ณ„์—ด ๋ฐ์ดํ„ฐ๋ฅผ ์ƒ์„ฑํ•˜๊ณ , ์‹ค์ œ๋กœ ...blog.naver.com( ๋ธ”๋กœ๊ทธ์ฑŒ๋ฆฐ์ง€ ํฌ์ŠคํŒ… ํ”Œ๋žซํผ์ด ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ๋ผ ๋งํฌ๋กœ ๊ฒŒ์‹œํ•˜์˜€์Šต๋‹ˆ๋‹ค โ˜บ๏ธ)