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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
env.example
env.example
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# TensorFlow Deep Learning Project Environment Variables
# Author: RSK World
# Website: https://rskworld.in
# Email: help@rskworld.in
# Phone: +91 93305 39277

# Copy this file to .env and update with your values

# API Configuration
API_HOST=0.0.0.0
API_PORT=5000
API_DEBUG=false

# Model Configuration
MODEL_PATH=./models/model.h5
MODEL_TYPE=classification

# Data Paths
DATA_DIR=./data
TRAIN_DIR=./data/train
VAL_DIR=./data/val
TEST_DIR=./data/test

# Training Configuration
BATCH_SIZE=32
EPOCHS=50
LEARNING_RATE=0.001

# Logging
LOG_LEVEL=INFO
LOG_DIR=./logs

# TensorFlow Configuration
TF_FORCE_GPU_ALLOW_GROWTH=true
TF_GPU_MEMORY_FRACTION=0.8
36 lines•684 B
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