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PseudoLab Tutorial Book

  • PyTorch를 활용한 딥러닝 튜토리얼 (Deep Learning Tutorials with PyTorch)

객체 탐지(Object Detection)

  • 의료용 마스크 탐지 모델 구축
  • 1. 객체 탐지 소개
  • 2. 데이터 탐색
  • 3. 데이터 전처리
  • 4. RetinaNet
  • 5. Faster R-CNN
  • 6. 참고 문헌

시계열 분석(Time Series)

  • 코로나 확진자 수 예측 모델 구축
  • 1. Time Series 소개
  • 2. 데이터 탐색
  • 3. 데이터 전처리
  • 4. LSTM
  • 5. CNN-LSTM
  • 6. 참고 문헌

생성 모델링(Generative Modeling)

  • 컬러 이미지 생성 모델 구축
  • 1. GAN 소개
  • 2. 데이터 탐색
  • 3. GAN
  • 4. pix2pix
  • 5. 참고 문헌

문제 생성(Question Generation)

  • MC 및 Wh 문제 생성
  • 1. 자연어 처리 모델 소개 (Introduction to NLP Model)
  • 2. 데이터 탐색과 전처리
  • 3. MC Question
  • 4. Wh- Question
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Contents
  • Dataset
  • Papers
  • Code
  • Blog

6. 참고 문헌¶

Dataset¶

  • JHU CSSE COVID-19 Data

  • Novel Corona Virus 2019 Dataset

Papers¶

  • Modeling COVID-19 scenarios for the United States

  • Time Series Forecasting With Deep Learning: A Survey

  • Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019

  • ANOTHER LOOK AT FORECAST-ACCURACY METRICS FOR INTERMITTENT DEMAND

  • Accuracy measures: theoretical and practical concerns

  • Another look at measures of forecast accuracy

Code¶

  • Covid-19 USA Visualization & Forecasting

  • Covid-19 Forecasting with an RNN

  • covid-19 forecast Germany with lgbm and keras

  • Predicting COVID-19 Infections with LSTM

  • Time Series Forecasting with LSTMs for Daily Coronavirus Cases using PyTorch in Python

  • Time Series Prediction using LSTM with PyTorch in Python

  • Forecasting: Principles and Practice

  • Deep Learning for Time Series Forecasting

  • SEQUENCE MODELS AND LONG-SHORT TERM MEMORY NETWORKS

Blog¶

  • Recurrent Neural Networks (RNNs)

  • LSTM hidden state logic

  • Understanding 1D and 3D Convolution Neural Network | Keras

5. CNN-LSTM 컬러 이미지 생성 모델 구축

By PseudoLab Tutorial Team
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