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RSK World
tensorflow-deeplearning
RSK World
tensorflow-deeplearning
Deep learning with TensorFlow and Keras
tensorflow-deeplearning
  • api
  • data
  • examples
  • models
  • notebooks
  • scripts
  • src
  • tests
  • .dockerignore291 B
  • .gitignore744 B
  • CHANGELOG.md1.3 KB
  • CLEANUP_GUIDE.md4.9 KB
  • DATA_GENERATION_SUMMARY.md5.3 KB
  • Dockerfile908 B
  • FINAL_PUSH_VERIFICATION.md4.4 KB
  • FIXES_APPLIED.md3.2 KB
  • FOLDER_MANAGEMENT_SUMMARY.md3.9 KB
  • GITHUB_PUSH_SUMMARY.md4.9 KB
  • LICENSE1.2 KB
  • PROJECT_SUMMARY.md3.6 KB
  • README.md5.2 KB
  • config.yaml1.2 KB
  • docker-compose.yml1 KB
  • env.example684 B
  • main.py2.4 KB
  • requirements.txt381 B
  • setup.py1.5 KB
docker-compose.yml
docker-compose.yml
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# Docker Compose Configuration
# Author: RSK World
# Website: https://rskworld.in
# Email: help@rskworld.in
# Phone: +91 93305 39277

version: '3.8'

services:
  tensorflow-api:
    build: .
    container_name: tensorflow-deeplearning-api
    ports:
      - "5000:5000"
    environment:
      - MODEL_PATH=./models/model.h5
      - API_HOST=0.0.0.0
      - API_PORT=5000
      - API_DEBUG=false
    volumes:
      - ./models:/app/models
      - ./data:/app/data
      - ./logs:/app/logs
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:5000/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

  jupyter:
    build: .
    container_name: tensorflow-deeplearning-jupyter
    ports:
      - "8888:8888"
    command: jupyter notebook --ip=0.0.0.0 --port=8888 --no-browser --allow-root --NotebookApp.token=''
    volumes:
      - .:/app
    restart: unless-stopped
41 lines•1 KB
yaml

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Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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