TensorFlow
TensorFlow is Google's open-source framework for Machine Learning: train your own AI models and run them in production.
TensorFlow is an open-source framework from Google that developers use to train and deploy machine learning models. Freely available since 2015, it was long the dominant tool in the field.
Companies use it when a custom model is necessary: quality control via image recognition in manufacturing, demand forecasting, or recommendation systems in e-commerce. Google itself runs many products with it. Its strength lies in its path to operation, including deployment on smartphones and edge devices.
PyTorch has surpassed TensorFlow in research and new developments and feels more natural for developers. More importantly for you as a decision-maker: For most companies, a ready-made model via API, such as Claude or GPT, is faster and cheaper than any custom training.
It's only suitable if you have ML engineers on your team and a use case that off-the-shelf AI APIs don't cover, such as sensitive data or specialized tasks. Everyone else is better off purchasing AI as a service.
Functions
- Mature tooling for model production deployment
- LiteRT (formerly TensorFlow Lite) for AI on mobile devices
- Developed by Google, open source since 2015
- TensorBoard for training visualization
- Tight integration with Google Cloud
Core Functions
- Training and Operation of Machine Learning Models
- Deployment from server, via browser, to smartphone
- Scaling on GPUs and Google's TPUs
- Keras as a built-in, accessible API
- Pre-trained models and Transfer Learning instead of training from scratch
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