Welcome to TF Watcher’s documentation!

TF Watcher is a simple to use Python package and web app which allows you to monitor 👀 your Machine Learning training or testing process on mobile devices 📱 built specially for Google Colab, Azure ML and Kaggle. Dedicated to all ML Developers with ❤️.

Quick Links

• Source: GitHub

• Web App

• Issue Tracker

• Mailing List

Contents:

• Introduction
• Installation
  • Developing TF watcher
• Documentation
  • Subpackages
    • tfwatcher.callbacks package
      • Submodules
      • tfwatcher.callbacks.epoch module
      • tfwatcher.callbacks.predict module
      • tfwatcher.callbacks.predict_batch module
      • tfwatcher.callbacks.test_batch module
      • tfwatcher.callbacks.train_batch module
      • Module contents
  • Submodules
  • tfwatcher.firebase_config module
  • tfwatcher.firebase_helpers module
  • tfwatcher.version module
  • Module contents
• Using the Web App
  • Features
  • Using the web app
  • Development setup
• Quick Start: TF Watcher
  • Setup
  • Get the data
  • Create a simple model
  • Use TF Watcher while training
• Authors

Indices and tables

• Index

• Module Index

• Search Page