TensorFlow
TensorFlow is Google's open-source platform for building, training, and deploying machine learning models.
At a glance
- Field
- AI & Machine Learning
- Best for
- Production machine learning
- Related service
- AI & Machine Learning
- First conversation
- Free, no obligation
Why businesses use TensorFlow
TensorFlow is valued for taking models into production, including running them on mobile devices and in browsers, which matters when predictions must happen quickly or offline.
How TensorFlow works
Models are built and trained using TensorFlow's tools, then exported to run on servers, mobile devices through TensorFlow Lite, or web browsers through TensorFlow.js.
What it's used for
- 01On-device AI in mobile apps
- 02Production prediction services
- 03Image and text classification
- 04Recommendation systems
Benefits
- Strong production and deployment tools
- Runs on mobile and web
- Backed by Google
- Mature ecosystem
Good to know
Every technology has trade-offs. We will always tell you when another option fits better.
- Many new research projects favour PyTorch
- Custom training requires good data
How MOKRIN uses TensorFlow
We use TensorFlow as part of our ai & machine learning work, mainly for production machine learning. It is one of the tools we recommend when it fits your goals, budget, and existing systems, and you own everything we build with it.
- AI assistants and chatbots
- Document processing
- Predictions and recommendations
- Computer vision
AI & Machine Learning
Related technologies
Have an Idea Worth Building?
Tell us about it in a free, no-obligation consultation. We're happy to sign an NDA first.