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TIL
  • MAIN
  • : TIL?
  • : WIL
  • : Plan
  • : Retrospective
    • 21Y
      • Wait a moment!
      • 9M 2W
      • 9M1W
      • 8M4W
      • 8M3W
      • 8M2W
      • 8M1W
      • 7M4W
      • 7M3W
      • 7M2W
      • 7M1W
      • 6M5W
      • 1H
    • ์ƒˆ์‚ฌ๋žŒ ๋˜๊ธฐ ํ”„๋กœ์ ํŠธ
      • 2ํšŒ์ฐจ
      • 1ํšŒ์ฐจ
  • TIL : ML
    • Paper Analysis
      • BERT
      • Transformer
    • Boostcamp 2st
      • [S]Data Viz
        • (4-3) Seaborn ์‹ฌํ™”
        • (4-2) Seaborn ๊ธฐ์ดˆ
        • (4-1) Seaborn ์†Œ๊ฐœ
        • (3-4) More Tips
        • (3-3) Facet ์‚ฌ์šฉํ•˜๊ธฐ
        • (3-2) Color ์‚ฌ์šฉํ•˜๊ธฐ
        • (3-1) Text ์‚ฌ์šฉํ•˜๊ธฐ
        • (2-3) Scatter Plot ์‚ฌ์šฉํ•˜๊ธฐ
        • (2-2) Line Plot ์‚ฌ์šฉํ•˜๊ธฐ
        • (2-1) Bar Plot ์‚ฌ์šฉํ•˜๊ธฐ
        • (1-3) Python๊ณผ Matplotlib
        • (1-2) ์‹œ๊ฐํ™”์˜ ์š”์†Œ
        • (1-1) Welcome to Visualization (OT)
      • [P]MRC
        • (2๊ฐ•) Extraction-based MRC
        • (1๊ฐ•) MRC Intro & Python Basics
      • [P]KLUE
        • (5๊ฐ•) BERT ๊ธฐ๋ฐ˜ ๋‹จ์ผ ๋ฌธ์žฅ ๋ถ„๋ฅ˜ ๋ชจ๋ธ ํ•™์Šต
        • (4๊ฐ•) ํ•œ๊ตญ์–ด BERT ์–ธ์–ด ๋ชจ๋ธ ํ•™์Šต
        • [NLP] ๋ฌธ์žฅ ๋‚ด ๊ฐœ์ฒด๊ฐ„ ๊ด€๊ณ„ ์ถ”์ถœ
        • (3๊ฐ•) BERT ์–ธ์–ด๋ชจ๋ธ ์†Œ๊ฐœ
        • (2๊ฐ•) ์ž์—ฐ์–ด์˜ ์ „์ฒ˜๋ฆฌ
        • (1๊ฐ•) ์ธ๊ณต์ง€๋Šฅ๊ณผ ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ
      • [U]Stage-CV
      • [U]Stage-NLP
        • 7W Retrospective
        • (10๊ฐ•) Advanced Self-supervised Pre-training Models
        • (09๊ฐ•) Self-supervised Pre-training Models
        • (08๊ฐ•) Transformer (2)
        • (07๊ฐ•) Transformer (1)
        • 6W Retrospective
        • (06๊ฐ•) Beam Search and BLEU score
        • (05๊ฐ•) Sequence to Sequence with Attention
        • (04๊ฐ•) LSTM and GRU
        • (03๊ฐ•) Recurrent Neural Network and Language Modeling
        • (02๊ฐ•) Word Embedding
        • (01๊ฐ•) Intro to NLP, Bag-of-Words
        • [ํ•„์ˆ˜ ๊ณผ์ œ 4] Preprocessing for NMT Model
        • [ํ•„์ˆ˜ ๊ณผ์ œ 3] Subword-level Language Model
        • [ํ•„์ˆ˜ ๊ณผ์ œ2] RNN-based Language Model
        • [์„ ํƒ ๊ณผ์ œ] BERT Fine-tuning with transformers
        • [ํ•„์ˆ˜ ๊ณผ์ œ] Data Preprocessing
      • Mask Wear Image Classification
        • 5W Retrospective
        • Report_Level1_6
        • Performance | Review
        • DAY 11 : HardVoting | MultiLabelClassification
        • DAY 10 : Cutmix
        • DAY 9 : Loss Function
        • DAY 8 : Baseline
        • DAY 7 : Class Imbalance | Stratification
        • DAY 6 : Error Fix
        • DAY 5 : Facenet | Save
        • DAY 4 : VIT | F1_Loss | LrScheduler
        • DAY 3 : DataSet/Lodaer | EfficientNet
        • DAY 2 : Labeling
        • DAY 1 : EDA
        • 2_EDA Analysis
      • [P]Stage-1
        • 4W Retrospective
        • (10๊ฐ•) Experiment Toolkits & Tips
        • (9๊ฐ•) Ensemble
        • (8๊ฐ•) Training & Inference 2
        • (7๊ฐ•) Training & Inference 1
        • (6๊ฐ•) Model 2
        • (5๊ฐ•) Model 1
        • (4๊ฐ•) Data Generation
        • (3๊ฐ•) Dataset
        • (2๊ฐ•) Image Classification & EDA
        • (1๊ฐ•) Competition with AI Stages!
      • [U]Stage-3
        • 3W Retrospective
        • PyTorch
          • (10๊ฐ•) PyTorch Troubleshooting
          • (09๊ฐ•) Hyperparameter Tuning
          • (08๊ฐ•) Multi-GPU ํ•™์Šต
          • (07๊ฐ•) Monitoring tools for PyTorch
          • (06๊ฐ•) ๋ชจ๋ธ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ
          • (05๊ฐ•) Dataset & Dataloader
          • (04๊ฐ•) AutoGrad & Optimizer
          • (03๊ฐ•) PyTorch ํ”„๋กœ์ ํŠธ ๊ตฌ์กฐ ์ดํ•ดํ•˜๊ธฐ
          • (02๊ฐ•) PyTorch Basics
          • (01๊ฐ•) Introduction to PyTorch
      • [U]Stage-2
        • 2W Retrospective
        • DL Basic
          • (10๊ฐ•) Generative Models 2
          • (09๊ฐ•) Generative Models 1
          • (08๊ฐ•) Sequential Models - Transformer
          • (07๊ฐ•) Sequential Models - RNN
          • (06๊ฐ•) Computer Vision Applications
          • (05๊ฐ•) Modern CNN - 1x1 convolution์˜ ์ค‘์š”์„ฑ
          • (04๊ฐ•) Convolution์€ ๋ฌด์—‡์ธ๊ฐ€?
          • (03๊ฐ•) Optimization
          • (02๊ฐ•) ๋‰ด๋Ÿด ๋„คํŠธ์›Œํฌ - MLP (Multi-Layer Perceptron)
          • (01๊ฐ•) ๋”ฅ๋Ÿฌ๋‹ ๊ธฐ๋ณธ ์šฉ์–ด ์„ค๋ช… - Historical Review
        • Assignment
          • [ํ•„์ˆ˜ ๊ณผ์ œ] Multi-headed Attention Assignment
          • [ํ•„์ˆ˜ ๊ณผ์ œ] LSTM Assignment
          • [ํ•„์ˆ˜ ๊ณผ์ œ] CNN Assignment
          • [ํ•„์ˆ˜ ๊ณผ์ œ] Optimization Assignment
          • [ํ•„์ˆ˜ ๊ณผ์ œ] MLP Assignment
      • [U]Stage-1
        • 1W Retrospective
        • AI Math
          • (AI Math 10๊ฐ•) RNN ์ฒซ๊ฑธ์Œ
          • (AI Math 9๊ฐ•) CNN ์ฒซ๊ฑธ์Œ
          • (AI Math 8๊ฐ•) ๋ฒ ์ด์ฆˆ ํ†ต๊ณ„ํ•™ ๋ง›๋ณด๊ธฐ
          • (AI Math 7๊ฐ•) ํ†ต๊ณ„ํ•™ ๋ง›๋ณด๊ธฐ
          • (AI Math 6๊ฐ•) ํ™•๋ฅ ๋ก  ๋ง›๋ณด๊ธฐ
          • (AI Math 5๊ฐ•) ๋”ฅ๋Ÿฌ๋‹ ํ•™์Šต๋ฐฉ๋ฒ• ์ดํ•ดํ•˜๊ธฐ
          • (AI Math 4๊ฐ•) ๊ฒฝ์‚ฌํ•˜๊ฐ•๋ฒ• - ๋งค์šด๋ง›
          • (AI Math 3๊ฐ•) ๊ฒฝ์‚ฌํ•˜๊ฐ•๋ฒ• - ์ˆœํ•œ๋ง›
          • (AI Math 2๊ฐ•) ํ–‰๋ ฌ์ด ๋ญ์˜ˆ์š”?
          • (AI Math 1๊ฐ•) ๋ฒกํ„ฐ๊ฐ€ ๋ญ์˜ˆ์š”?
        • Python
          • (Python 7-2๊ฐ•) pandas II
          • (Python 7-1๊ฐ•) pandas I
          • (Python 6๊ฐ•) numpy
          • (Python 5-2๊ฐ•) Python data handling
          • (Python 5-1๊ฐ•) File / Exception / Log Handling
          • (Python 4-2๊ฐ•) Module and Project
          • (Python 4-1๊ฐ•) Python Object Oriented Programming
          • (Python 3-2๊ฐ•) Pythonic code
          • (Python 3-1๊ฐ•) Python Data Structure
          • (Python 2-4๊ฐ•) String and advanced function concept
          • (Python 2-3๊ฐ•) Conditionals and Loops
          • (Python 2-2๊ฐ•) Function and Console I/O
          • (Python 2-1๊ฐ•) Variables
          • (Python 1-3๊ฐ•) ํŒŒ์ด์ฌ ์ฝ”๋”ฉ ํ™˜๊ฒฝ
          • (Python 1-2๊ฐ•) ํŒŒ์ด์ฌ ๊ฐœ์š”
          • (Python 1-1๊ฐ•) Basic computer class for newbies
        • Assignment
          • [์„ ํƒ ๊ณผ์ œ 3] Maximum Likelihood Estimate
          • [์„ ํƒ ๊ณผ์ œ 2] Backpropagation
          • [์„ ํƒ ๊ณผ์ œ 1] Gradient Descent
          • [ํ•„์ˆ˜ ๊ณผ์ œ 5] Morsecode
          • [ํ•„์ˆ˜ ๊ณผ์ œ 4] Baseball
          • [ํ•„์ˆ˜ ๊ณผ์ œ 3] Text Processing 2
          • [ํ•„์ˆ˜ ๊ณผ์ œ 2] Text Processing 1
          • [ํ•„์ˆ˜ ๊ณผ์ œ 1] Basic Math
    • ๋”ฅ๋Ÿฌ๋‹ CNN ์™„๋ฒฝ ๊ฐ€์ด๋“œ - Fundamental ํŽธ
      • ์ข…ํ•ฉ ์‹ค์Šต 2 - ์บ๊ธ€ Plant Pathology(๋‚˜๋ฌด์žŽ ๋ณ‘ ์ง„๋‹จ) ๊ฒฝ์—ฐ ๋Œ€ํšŒ
      • ์ข…ํ•ฉ ์‹ค์Šต 1 - 120์ข…์˜ Dog Breed Identification ๋ชจ๋ธ ์ตœ์ ํ™”
      • ์‚ฌ์ „ ํ›ˆ๋ จ ๋ชจ๋ธ์˜ ๋ฏธ์„ธ ์กฐ์ • ํ•™์Šต๊ณผ ๋‹ค์–‘ํ•œ Learning Rate Scheduler์˜ ์ ์šฉ
      • Advanced CNN ๋ชจ๋ธ ํŒŒํ—ค์น˜๊ธฐ - ResNet ์ƒ์„ธ์™€ EfficientNet ๊ฐœ์š”
      • Advanced CNN ๋ชจ๋ธ ํŒŒํ—ค์น˜๊ธฐ - AlexNet, VGGNet, GoogLeNet
      • Albumentation์„ ์ด์šฉํ•œ Augmentation๊ธฐ๋ฒ•๊ณผ Keras Sequence ํ™œ์šฉํ•˜๊ธฐ
      • ์‚ฌ์ „ ํ›ˆ๋ จ CNN ๋ชจ๋ธ์˜ ํ™œ์šฉ๊ณผ Keras Generator ๋ฉ”์ปค๋‹ˆ์ฆ˜ ์ดํ•ด
      • ๋ฐ์ดํ„ฐ ์ฆ๊ฐ•์˜ ์ดํ•ด - Keras ImageDataGenerator ํ™œ์šฉ
      • CNN ๋ชจ๋ธ ๊ตฌํ˜„ ๋ฐ ์„ฑ๋Šฅ ํ–ฅ์ƒ ๊ธฐ๋ณธ ๊ธฐ๋ฒ• ์ ์šฉํ•˜๊ธฐ
    • AI School 1st
    • ํ˜„์—… ์‹ค๋ฌด์ž์—๊ฒŒ ๋ฐฐ์šฐ๋Š” Kaggle ๋จธ์‹ ๋Ÿฌ๋‹ ์ž…๋ฌธ
    • ํŒŒ์ด์ฌ ๋”ฅ๋Ÿฌ๋‹ ํŒŒ์ดํ† ์น˜
  • TIL : Python & Math
    • Do It! ์žฅ๊ณ +๋ถ€ํŠธ์ŠคํŠธ๋žฉ: ํŒŒ์ด์ฌ ์›น๊ฐœ๋ฐœ์˜ ์ •์„
      • Relations - ๋‹ค๋Œ€๋‹ค ๊ด€๊ณ„
      • Relations - ๋‹ค๋Œ€์ผ ๊ด€๊ณ„
      • ํ…œํ”Œ๋ฆฟ ํŒŒ์ผ ๋ชจ๋“ˆํ™” ํ•˜๊ธฐ
      • TDD (Test Driven Development)
      • template tags & ์กฐ๊ฑด๋ฌธ
      • ์ •์  ํŒŒ์ผ(static files) & ๋ฏธ๋””์–ด ํŒŒ์ผ(media files)
      • FBV (Function Based View)์™€ CBV (Class Based View)
      • Django ์ž…๋ฌธํ•˜๊ธฐ
      • ๋ถ€ํŠธ์ŠคํŠธ๋žฉ
      • ํ”„๋ก ํŠธ์—”๋“œ ๊ธฐ์ดˆ๋‹ค์ง€๊ธฐ (HTML, CSS, JS)
      • ๋“ค์–ด๊ฐ€๊ธฐ + ํ™˜๊ฒฝ์„ค์ •
    • Algorithm
      • Programmers
        • Level1
          • ์†Œ์ˆ˜ ๋งŒ๋“ค๊ธฐ
          • ์ˆซ์ž ๋ฌธ์ž์—ด๊ณผ ์˜๋‹จ์–ด
          • ์ž์—ฐ์ˆ˜ ๋’ค์ง‘์–ด ๋ฐฐ์—ด๋กœ ๋งŒ๋“ค๊ธฐ
          • ์ •์ˆ˜ ๋‚ด๋ฆผ์ฐจ์ˆœ์œผ๋กœ ๋ฐฐ์น˜ํ•˜๊ธฐ
          • ์ •์ˆ˜ ์ œ๊ณฑ๊ทผ ํŒ๋ณ„
          • ์ œ์ผ ์ž‘์€ ์ˆ˜ ์ œ๊ฑฐํ•˜๊ธฐ
          • ์ง์‚ฌ๊ฐํ˜• ๋ณ„์ฐ๊ธฐ
          • ์ง์ˆ˜์™€ ํ™€์ˆ˜
          • ์ฒด์œก๋ณต
          • ์ตœ๋Œ€๊ณต์•ฝ์ˆ˜์™€ ์ตœ์†Œ๊ณต๋ฐฐ์ˆ˜
          • ์ฝœ๋ผ์ธ  ์ถ”์ธก
          • ํฌ๋ ˆ์ธ ์ธํ˜•๋ฝ‘๊ธฐ ๊ฒŒ์ž„
          • ํ‚คํŒจ๋“œ ๋ˆ„๋ฅด๊ธฐ
          • ํ‰๊ท  ๊ตฌํ•˜๊ธฐ
          • ํฐ์ผ“๋ชฌ
          • ํ•˜์ƒค๋“œ ์ˆ˜
          • ํ•ธ๋“œํฐ ๋ฒˆํ˜ธ ๊ฐ€๋ฆฌ๊ธฐ
          • ํ–‰๋ ฌ์˜ ๋ง์…ˆ
        • Level2
          • ์ˆซ์ž์˜ ํ‘œํ˜„
          • ์ˆœ์œ„ ๊ฒ€์ƒ‰
          • ์ˆ˜์‹ ์ตœ๋Œ€ํ™”
          • ์†Œ์ˆ˜ ์ฐพ๊ธฐ
          • ์†Œ์ˆ˜ ๋งŒ๋“ค๊ธฐ
          • ์‚ผ๊ฐ ๋‹ฌํŒฝ์ด
          • ๋ฌธ์ž์—ด ์••์ถ•
          • ๋ฉ”๋‰ด ๋ฆฌ๋‰ด์–ผ
          • ๋” ๋งต๊ฒŒ
          • ๋•…๋”ฐ๋จน๊ธฐ
          • ๋ฉ€์ฉกํ•œ ์‚ฌ๊ฐํ˜•
          • ๊ด„ํ˜ธ ํšŒ์ „ํ•˜๊ธฐ
          • ๊ด„ํ˜ธ ๋ณ€ํ™˜
          • ๊ตฌ๋ช…๋ณดํŠธ
          • ๊ธฐ๋Šฅ ๊ฐœ๋ฐœ
          • ๋‰ด์Šค ํด๋Ÿฌ์Šคํ„ฐ๋ง
          • ๋‹ค๋ฆฌ๋ฅผ ์ง€๋‚˜๋Š” ํŠธ๋Ÿญ
          • ๋‹ค์Œ ํฐ ์ˆซ์ž
          • ๊ฒŒ์ž„ ๋งต ์ตœ๋‹จ๊ฑฐ๋ฆฌ
          • ๊ฑฐ๋ฆฌ๋‘๊ธฐ ํ™•์ธํ•˜๊ธฐ
          • ๊ฐ€์žฅ ํฐ ์ •์‚ฌ๊ฐํ˜• ์ฐพ๊ธฐ
          • H-Index
          • JadenCase ๋ฌธ์ž์—ด ๋งŒ๋“ค๊ธฐ
          • N๊ฐœ์˜ ์ตœ์†Œ๊ณต๋ฐฐ์ˆ˜
          • N์ง„์ˆ˜ ๊ฒŒ์ž„
          • ๊ฐ€์žฅ ํฐ ์ˆ˜
          • 124 ๋‚˜๋ผ์˜ ์ˆซ์ž
          • 2๊ฐœ ์ดํ•˜๋กœ ๋‹ค๋ฅธ ๋น„ํŠธ
          • [3์ฐจ] ํŒŒ์ผ๋ช… ์ •๋ ฌ
          • [3์ฐจ] ์••์ถ•
          • ์ค„ ์„œ๋Š” ๋ฐฉ๋ฒ•
          • [3์ฐจ] ๋ฐฉ๊ธˆ ๊ทธ๊ณก
          • ๊ฑฐ๋ฆฌ๋‘๊ธฐ ํ™•์ธํ•˜๊ธฐ
        • Level3
          • ๋งค์นญ ์ ์ˆ˜
          • ์™ธ๋ฒฝ ์ ๊ฒ€
          • ๊ธฐ์ง€๊ตญ ์„ค์น˜
          • ์ˆซ์ž ๊ฒŒ์ž„
          • 110 ์˜ฎ๊ธฐ๊ธฐ
          • ๊ด‘๊ณ  ์ œ๊ฑฐ
          • ๊ธธ ์ฐพ๊ธฐ ๊ฒŒ์ž„
          • ์…”ํ‹€๋ฒ„์Šค
          • ๋‹จ์†์นด๋ฉ”๋ผ
          • ํ‘œ ํŽธ์ง‘
          • N-Queen
          • ์ง•๊ฒ€๋‹ค๋ฆฌ ๊ฑด๋„ˆ๊ธฐ
          • ์ตœ๊ณ ์˜ ์ง‘ํ•ฉ
          • ํ•ฉ์Šน ํƒ์‹œ ์š”๊ธˆ
          • ๊ฑฐ์Šค๋ฆ„๋ˆ
          • ํ•˜๋…ธ์ด์˜ ํƒ‘
          • ๋ฉ€๋ฆฌ ๋›ฐ๊ธฐ
          • ๋ชจ๋‘ 0์œผ๋กœ ๋งŒ๋“ค๊ธฐ
        • Level4
    • Head First Python
    • ๋ฐ์ดํ„ฐ ๋ถ„์„์„ ์œ„ํ•œ SQL
    • ๋‹จ ๋‘ ์žฅ์˜ ๋ฌธ์„œ๋กœ ๋ฐ์ดํ„ฐ ๋ถ„์„๊ณผ ์‹œ๊ฐํ™” ๋ฝ€๊ฐœ๊ธฐ
    • Linear Algebra(Khan Academy)
    • ์ธ๊ณต์ง€๋Šฅ์„ ์œ„ํ•œ ์„ ํ˜•๋Œ€์ˆ˜
    • Statistics110
  • TIL : etc
    • [๋”ฐ๋ฐฐ๋Ÿฐ] Kubernetes
    • [๋”ฐ๋ฐฐ๋Ÿฐ] Docker
      • 2. ๋„์ปค ์„ค์น˜ ์‹ค์Šต 1 - ํ•™์ŠตํŽธ(์ค€๋น„๋ฌผ/์‹ค์Šต ์œ ํ˜• ์†Œ๊ฐœ)
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  • [ํ”„๋กœ๊ทธ๋ž˜๋จธ์Šค AI ์Šค์ฟจ 1๊ธฐ] 4์ฃผ์ฐจ DAY 2
  • AWS๋ฅผ ํ™œ์šฉํ•œ ์ธ๊ณต์ง€๋Šฅ ๋ชจ๋ธ ๋ฐฐํฌ III
  • [ํ”„๋กœ๊ทธ๋ž˜๋จธ์Šค AI ์Šค์ฟจ 1๊ธฐ] 4์ฃผ์ฐจ DAY 4
  • django IV - Model
  • django V - Model on Template
  • django VI - Updating Model on Template with Form

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  1. 2020 TIL
  2. DEC

29 Tue

TIL

[ํ”„๋กœ๊ทธ๋ž˜๋จธ์Šค AI ์Šค์ฟจ 1๊ธฐ] 4์ฃผ์ฐจ DAY 2

AWS๋ฅผ ํ™œ์šฉํ•œ ์ธ๊ณต์ง€๋Šฅ ๋ชจ๋ธ ๋ฐฐํฌ III

API to serve ML model

Client๊ฐ€ HTTP ํ”„๋กœํ† ์ฝœ์„ ํ†ตํ•ด ์„œ๋ฒ„์— ์š”์ฒญํ–ˆ์„ ๊ฒฝ ํ•™์Šต ๋˜๋Š” ์˜ˆ์ธก์„ ํ•  ์ˆ˜ ์žˆ๋Š” API๋ฅผ ๋งŒ๋“œ๋Š” ๊ฒƒ์ด ๋ชฉํ‘œ. ์ด ๋ชจ๋ธ์€ ํ•™์Šต์„ ํ†ตํ•ด ๋‚ด๋ถ€ EBS์— ์ €์žฅ๋˜๊ฑฐ๋‚˜ ์™ธ๋ถ€์˜ ์‚ฌ์ „์— ํ•™์Šตํ•œ ๋ชจ๋ธ์„ ๋ฒ„ํ‚ท์œผ๋กœ ์ €์žฅํ•˜๊ฑฐ๋‚˜ ๊นƒํ—ˆ๋ธŒ ์ €์žฅ์†Œ์—์„œ ๊ฐ€์ ธ์˜ฌ ์ˆ˜๋„ ์žˆ๋‹ค.

Interface

์‚ฌ์šฉ์ž๊ฐ€ ๊ธฐ๊ณ„์™€ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด ์ƒํ˜ธ ํ•ฉ์˜๋œ ๋ฉ”๋‰ด์–ผ

ex) ๋ฆฌ๋ชจ

API

Application Programming Interface. ์‚ฌ๋žŒ์ด ๊ธฐ๊ณ„๋ฅผ ์ œ์–ดํ•˜๋Š” ๊ฒƒ์ฒ˜๋Ÿผ. ๊ธฐ๊ณ„์™€ ๊ธฐ๊ณ„, ์†Œํ”„ํŠธ์›จ์–ด์™€ ์†Œํ”„ํŠธ์›จ์–ด ๊ฐ„์˜ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜์„ ์œ„ํ•œ ์ธํ„ฐํŽ˜์ด์Šค

ex) ํœด๋Œ€ํฐ์— ๋„์ฐฉํ•œ ์นดํ†ก ์•Œ๋ฆผ์„ ์›Œ์น˜์— ์ถœ๋ ฅ

RESTful API for ML/DL model inference

REST์•„ํ‚คํ…์ฒ˜๋ฅผ ๋”ฐ๋ฅด๋Š” API์ด๋ฉฐ HTTP URI๋ฅผ ํ†ตํ•ด ์ž์›์„ ๋ช…์‹œํ•˜๊ณ  HTTP Method๋ฅผ ํ†ตํ•ด ํ•„์š”ํ•œ ์—ฐ์‚ฐ์„ ์š”์ฒญํ•˜๊ณ  ๋ฐ˜ํ™˜ํ•˜๋Š” API๋ฅผ ์ง€์นญ

Practical process of machine learning

๊ฒ€์ฆ์„ ํ†ตํ•ด ๋ฐฐํฌ๊ฐ€ ๊ฐ€๋Šฅํ•˜๋‹ค๊ณ  ์ƒ๊ฐํ•˜๋ฉด ๋ฐฐํฌ. ์—ฌ๊ธฐ์„œ ์šฐ๋ฆฌ๊ฐ€ ํ•  ๋ถ€๋ถ„์€ Trained Model File์„ ๋ถˆ๋Ÿฌ์™€์„œ ์‹คํ–‰ํ•˜๋Š” ๊ฒƒ.

Model Serving

๋ชจ๋ธ์„ ์ œ์ž‘, ํ›ˆ๋ จ, ํ‰๊ฐ€ํ•œ๋‹ค. ์ดํ›„ ์™„์„ฑ๋œ ๋ชจ๋ธ์„ ์ €์žฅํ•˜๊ณ  ์ดํ›„์— ๋‹ค์‹œ ๋ถˆ๋Ÿฌ์˜จ๋‹ค. ์ด ๊ณผ์ •์—์„œ ์—ฐ์†์„ฑ์ด ์กด์žฌํ•ด์•ผ ํ•œ๋‹ค.

Serialization & De-serialization

S : ML/DL model์„ disk์— writeํ•˜์—ฌ loadable ํ•  ์ˆ˜ ์žˆ๋Š” ํ˜•ํƒœ๋กœ ๋ณ€ํ™˜.

D : Python๋“ฑ์˜ ํ™˜๊ฒฝ์—์„œ model์„ ๋ถˆ๋Ÿฌ์™€ ์ถ”๋ก /ํ•™์Šต.

Handler

์ฝ”๋“œ์˜ ๊ด€๋ฆฌ์ธก๋ฉด์—์„œ ํ•ธ๋“ค๋Ÿฌ๊ฐ€ ํ•„์š”

Frameworks for serving

๋”ฅ๋Ÿฌ๋‹ ํ™˜๊ฒฝ์—์„œ๋Š” GPU๋‚˜ ๋ถ„์‚ฐ ์ฒ˜๋ฆฌ ํ™˜๊ฒฝ์„ ๊ฐ€์ง€๊ณ  ์•ˆ์ •์ ์œผ๋กœ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”. Tensorflow serving์ด๋‚˜ TorchServe, TensorRT ๊ฐ™์€ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด ์ผ๋ฐ˜์ ์ด๋‹ค.

์‹ค์Šต : Serialization & De-serialization

[ํ”„๋กœ๊ทธ๋ž˜๋จธ์Šค AI ์Šค์ฟจ 1๊ธฐ] 4์ฃผ์ฐจ DAY 4

django IV - Model

view ์—์„œ๋Š” ๋กœ์ง์ฒ˜๋ฆฌ๊ฐ€ ์žˆ์—ˆ๊ณ  ์ด ์ฒ˜๋ฆฌ์˜ ๋ฐ˜ํ™˜๊ฐ’์ด ์ฒ˜๋ฆฌ์— ๋Œ€ํ•œ ๋ฐ˜ํ™˜๊ฐ’์ด๋‹ค. ์ด ๋•Œ http response๋ฅผ ์‚ฌ์šฉํ•  ์ˆ˜๋„ ์žˆ์ง€๋งŒ render๋ฅผ ์‚ฌ์šฉํ•  ์ˆ˜๋„ ์žˆ๋‹ค. ์ด ๋•Œ ํ…œํ”Œ๋ฆฟ์„ ์‚ฌ์šฉํ•˜๋ฉฐ ํ…œํ”Œ๋ฆฟ์€ html, css, js๊ฐ€ ์žˆ๋‹ค.

model์€ aws๋ฅผ ๊ด€๋ฆฌํ•˜๋Š” ๊ณณ์ธ๋ฐ, ๋ชจ๋ธ์„ ํ™œ์šฉํ•ด์„œ ํ…œํ”Œ๋ฆฟ ๋˜๋Š” ๋ทฐ์— ์œ ์˜๋ฏธํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ๋˜, ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋„ ๊ด€๋ฆฌํ•˜๊ฒŒ ๋œ๋‹ค.

๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ๊ตฌ์กฐํ™” ํ•˜์—ฌ ์ €์žฅํ•œ ์‹œ์Šคํ…œ์ด๋‹ค. ๋‹จ์ˆœํžˆ ์ •๋ณด๋ฅผ ์ €์žฅํ•œ ์ฐฝ๊ณ ๊ฐ€ ์•„๋‹Œ, ์ •๋ ฌ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•˜์—ฌ ์‰ฝ๊ฒŒ ๊ด€๋ฆฌํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค. Relational DB๋ฅผ ๋งŽ์ด ์‚ฌ์šฉํ•˜๋ฉฐ ์ด๋Š” column๊ณผ row๋ฅผ ์ด์šฉํ•ด ๋ฐ์ดํ„ฐ๋ฅผ ์ •์˜ํ•œ๋‹ค. ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์— ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ๋Š” API๊ฐ€ SQL์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์žฅ๊ณ ๋Š” SQL๋ฅผ ์ด์šฉํ•˜์ง€ ์•Š๊ณ ๋„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์— ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ๋Š”๋ฐ ์ด๊ฒƒ์ด ORM์ด๋‹ค. ์žฅ๊ณ ์—๋Š” ๊ฐ์ฒด ๋‹จ์œ„๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ๋‹ค๋ฃจ๋Š” ORM์ด ๋‚ด์žฅ๋˜์–ด์žˆ๋‹ค.

models.py

from django.db import models

# Create your models here.
class Coffee(models.Model):
    name = models.CharField(default="", null=False, max_length=30)    # default : ๊ธฐ๋ณธ์ ์œผ๋กœ ํ–‰์— ๋‹ด๊ฒจ์žˆ๋Š” ๊ฐ’
    price = models.IntegerField(default=0)       # null : ๋น„์–ด์žˆ์–ด๋„ ๋˜๋Š”์ง€์˜ ์—ฌ๋ถ€ (default : False)
    is_ice = models.BooleanField(default=False)     # max_length : ์ตœ๋Œ€ ๊ธธ์ด
    '''
    ๋ฌธ์ž์—ด : CharField
    ์ˆซ์ž : IntegerField, SmallIntegerField
    ๋…ผ๋ฆฌํ˜• : BooleanField
    ์‹œ๊ฐ„/๋‚ ์งœ : DateTimeField
    '''

admin.py

from django.contrib import admin
from .models import Coffee

# Register your models here.
# ์–ด๋–ค ๋ชจ๋ธ์„ admin๊ณผ ์—ฐ๋™์„ ํ•˜๋ฉด superuse์—์„œ ์ด ํŽ˜์ด์ง€๋ฅผ ๊ด€๋ฆฌํ•  ์ˆ˜ ์žˆ์Œ

admin.site.register(Coffee)

๊ด€๋ฆฌ์ž ํŽ˜์ด์ง€๋กœ ์ ‘์†ํ•˜๋ฉด Coffees๊ฐ€ ์ถ”๊ฐ€๋œ ๋ชจ์Šต. ๊ธฐ๋ณธ์ ์œผ๋กœ Groups์™€ Users๋ฅผ ๊ด€๋ฆฌํ•œ๋‹ค. ์ด ๋•Œ coffees๋ฅผ ๋ˆ„๋ฅด๋ฉด ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•˜๋Š”๋ฐ ์ด๋Š” ์•„์ง ์žฅ๊ณ  ํ™˜๊ฒฝ์—์„œ coffees๊ฐ€ ์ƒ์„ฑ๋จ์„ ์ธ์‹ํ•˜์ง€ ๋ชปํ–ˆ๊ธฐ ๋•Œ๋ฌธ.

python manage.py makemigrations homepage

python manage.py migrate

๋ฅผ ์‹คํ–‰ํ•˜๊ณ  ๋‹ค์‹œ coffees๋ฅผ ๋ˆ„๋ฅด๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™์€ ํ™”๋ฉด์ด ์„ฑ๊ณต์ ์œผ๋กœ ์ถœ๋ ฅ๋œ๋‹ค.

name์€ charfield์ด๊ธฐ ๋•Œ๋ฌธ์— ๊ธด ํ…์ŠคํŠธ ๋ฐ•์Šค, price๋Š” intergerfield up-down ๊ธฐ๋Šฅ์ด ๋‚ด์žฅ๋œ ํ…์ŠคํŠธ ๋ฐ•์Šค, is ice๋Š” booleanfield์ด๊ธฐ ๋•Œ๋ฌธ์— ์ฒดํฌ ๋ฐ•์Šค๊ฐ€ ์ƒ์„ฑ๋œ ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค.

์ด ๋•Œ ์œ„์™€ ๊ฐ™์ด Coffee ํด๋ž˜์Šค๋กœ ์ƒ์„ฑ๋œ ๋‘ ๊ฐœ์˜ ์ธ์Šคํ„ด์Šค๊ฐ€ ์กด์žฌํ•˜์ง€๋งŒ ๊ฐœ๋ณ„์ ์ธ ์ด๋ฆ„์„ ๊ฐ€์งˆ ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๋‹ค์Œ์˜ ์ฝ”๋“œ๋ฅผ Coffee ํด๋ž˜์Šค์— ์ถ”๊ฐ€ํ•œ๋‹ค.

    def __str__(self):
        return self.name

์œ„์™€ ๊ฐ™์ด ๋ณ€๊ฒฝ๋œ ๋ชจ์Šต.

django V - Model on Template

๋ชจ๋ธ์˜ ๋‚ด์šฉ์„ ํ…œํ”Œ๋ฆฟ์œผ๋กœ ์ „๋‹ฌํ•˜๊ณ ์ž ํ•˜๋Š”๋ฐ ์ด ๋•Œ ํ•ญ์ƒ view๋ฅผ ๊ฑฐ์ณ์•ผ ํ•œ๋‹ค.

coffee.html

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Coffee List</title>
</head>
<body>
    <h1>My Coffee List</h1>
    {% for coffee in coffee_list %}
        <p>{{ coffee.name }} , {{ coffee.price }}</p>
    {% endfor %}
</body>
</html>

urls.py

from django.contrib import admin
from django.urls import path
from homepage.views import index, coffee_view

urlpatterns = [
    path('coffee/', coffee_view), # 127.0.0.1/coffee/
    path('admin/', admin.site.urls), # 127.0.0.1/admin/
    path('', index) # 127.0.0.1/
]

์ƒˆ๋กœ์šด ํŒŒ์ผ์ด ์ƒ๊ธธ ๋•Œ ๋งˆ๋‹ค ํ•ญ์ƒ ์žฅ๊ณ ์˜ ๊ตฌ์กฐ์— ๋งž๊ฒŒ ์ถ”๊ฐ€์‹œ์ผœ์ฃผ๊ธฐ

views.py

def coffee_view(request):
    coffee_all = Coffee.objects.all()   # ์ปคํ”ผ ํด๋ž˜์Šค์˜ ๋ชจ๋“  ํ–‰์„ ๊ฐ€์ ธ์˜ค๋ผ๋Š” ๋œป.
    return render(request, 'coffee.html', {"coffee_list" : coffee_all})

์ด ๊ณผ์ •์€ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ง„ํ–‰๋œ๋‹ค.

model.py : ์ž˜ ๋งŒ๋“ค์–ด์ง„ ๋ชจ๋ธ ํŒŒ์ผ

view.py : ๋ชจ๋ธ์„ import๋ฅผ ํ•˜๊ณ  ๋ชจ๋ธ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ฐ€์ง€๊ณ  ์˜จ๋‹ค. ์ด ๋•Œ, objects.all() ์„ ํ†ตํ•ด ๊ฐ€์ง€๊ณ  ์˜ด. ์ด ์™ธ์—๋„ get()์ด๋‚˜ filter()๋“ฑ์„ ํ†ตํ•ด ํŠน์ • ์กฐ๊ฑด์„ ๋งŒ์กฑํ•˜๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ๊ฐ€์ง€๊ณ  ์˜ฌ ์ˆ˜ ์žˆ์Œ. ์ดํ›„์— render๋ฅผ ์ด์šฉํ•˜์—ฌ dictionary ํ˜•ํƒœ๋กœ template์— ๋„˜๊ฒจ์ค€๋‹ค.

coffee.html : ์ด ์ •๋ณด๋ฅผ ๋„˜๊ฒจ ๋ฐ›์€ ํ…œํ”Œ๋ฆฟ์€ ํ…œํ”Œ๋ฆฟ ๋ณ€์ˆ˜์™€ ํƒœ๊ทธ๋ฅผ ํ†ตํ•ด ์ •๋ณด๋ฅผ ๋™์ ์œผ๋กœ ์ฒ˜๋ฆฌํ•œ๋‹ค.

django VI - Updating Model on Template with Form

Form์„ ์ด์šฉํ•ด์„œ ํ…œํ”Œ๋ฆฟ์˜ ๋ชจ๋ธ์„ ์ˆ˜์ •ํ•˜๊ธฐ

forms.py

from django import forms
from .models import Coffee  # Model ํ˜ธ์ถœ

class CoffeeForm(forms.ModelForm):  # ModelForm์„ ์ƒ์†๋ฐ›๋Š” CoffeeForm ์ƒ์„ฑ
    class Meta:
        model = Coffee
        fields = ('name', 'price', 'is_ice')

views.py

def coffee_view(request):
    coffee_all = Coffee.objects.all()   # ์ปคํ”ผ ํด๋ž˜์Šค์˜ ๋ชจ๋“  ํ–‰์„ ๊ฐ€์ ธ์˜ค๋ผ๋Š” ๋œป.
    form = CoffeeForm()
    return render(request, 'coffee.html', {"coffee_list" : coffee_all, "coffee_form" : form})

๋งˆ์ฐฌ๊ฐ€์ง€๋กœ view ๊ฑฐ์ณ ํ…œํ”Œ๋ฆฟ์œผ๋กœ ์ •๋ณด๊ฐ€ ์ „์†ก๋˜์–ด์•ผ ํ•œ๋‹ค.

coffee.html

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Coffee List</title>
</head>
<body>
    <h1>My Coffee List</h1>
    {% for coffee in coffee_list %}
        <p>{{ coffee.name }} , {{ coffee.price }}</p>
    {% endfor %}

    <form method="Post">{% csrf_token %}
        {{ coffee_form.as_p }}
        <button type="submit">Save</button>
    </form>
</body>
</html>

form์„ ๊ตฌ์„ฑํ•  ๋•Œ๋Š” CSRF ํ† ํฐ์„ ๊ผญ ๋„ฃ์–ด์ค˜์•ผ ํ•œ๋‹ค. HTML5 ๋ณด์•ˆ์ •์ฑ…์ด๋‹ค. ๊ทธ๋ ‡์ง€ ์•Š์œผ๋ฉด ์•„๋ž˜์™€ ๊ฐ™์€ ์—๋Ÿฌ ํŽ˜์ด์ง€๊ฐ€ ์ถœ๋ ฅ๋œ๋‹ค.

์ด ๋•Œ save๋ฒ„ํŠผ์„ ๋ˆŒ๋Ÿฌ POST์š”์ฒญ์„ ํ•ด๋„ ์•„๋ฌด๋Ÿฐ ๋ณ€ํ™”๊ฐ€ ์—†๋‹ค. ์ด์— ๋Œ€ํ•œ ๋กœ์ง ์ฒ˜๋ฆฌ๋ฅผ ๊ตฌํ˜„ํ•ด์•ผ ํ•จ.

views.py

def coffee_view(request):
    coffee_all = Coffee.objects.all()   # ์ปคํ”ผ ํด๋ž˜์Šค์˜ ๋ชจ๋“  ํ–‰์„ ๊ฐ€์ ธ์˜ค๋ผ๋Š” ๋œป.
    if request.method == "POST":
        form = CoffeeForm(request.POST)    # ์–‘์‹์ด ์ฑ„์›Œ์ง„ Form ์ƒ์„ฑ
        if form.is_valid():     # is_valid๋Š” form ๋‚ด๋ถ€ ๊ฐ’๋“ค์ด ์œ ํšจํ•œ์ง€ ํ™•์ธํ•œ๋‹ค
            form.save()     # Form ๋‚ด์šฉ์„ ๋ชจ๋ธ์— ์ €์žฅ
    form = CoffeeForm()
    return render(request, 'coffee.html', {"coffee_list" : coffee_all, "coffee_form" : form})

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