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TensorFlow Project Structure

A scalable and maintainable folder structure for TensorFlow applications

File Structure

  • src
    • train.py
    • model.py
    • utils.py
  • data
    • raw
    • processed
  • models
    • saved_model
  • requirements.txt
  • README.md

Directory Structure Explanation

src/

Contains the main Python source code for the TensorFlow project.

src/train.py

Main training script that defines and trains the TensorFlow model.

src/model.py

Defines the neural network architecture and model structure.

src/utils.py

Utility functions for data processing and helper methods.

data/

Contains datasets organized by processing stage.

data/raw/

Original, unprocessed datasets as received from data sources.

data/processed/

Preprocessed and cleaned datasets ready for training.

models/

Contains saved models, checkpoints, and model artifacts.