When you purchase through links on our site, we may earn an affiliate commission.Heres how it works.
Whether youre a researcher or a business deploying AI at scale, TensorFlow is a solid foundation for innovation.
This article was correct as of February 2025.
AI tools are updated regularly and it is possible that some features have changed since this article was written.
Some features may also only be available in certain countries.
What is TensorFlow?
TensorFlow is an open-source machine learning and deep learning framework created by Google Brain in 2015.
What can you use TensorFlow for?
TensorFlow.js enables AI models to run directly in web browsers, making it accessible for web developers.
What cant you use TensorFlow for?
TensorFlow is also not ideal for lightweight machine learning applications where simpler frameworks likeScikit-learnmay be more efficient.
How much does TensorFlow cost?
The software can be downloaded and installed on local machines, cloud environments, or edge devices.
Where can you use TensorFlow?
TensorFlow is available on Windows, macOS, and Linux and can beinstalled via Pythons pip package manager.
It supports cloud platforms like Google Cloud, AWS, and Azure for enterprise deployment.
Is TensorFlow any good?
TensorFlow is widely regarded as one of the most powerful and flexible AI frameworks available today.
The latest versions have significantly improved usability, particularly with the integration ofKeras, making model building more intuitive.
- Its a great choice if you want to run AI applications in the cloud.
If you prefer an industry-standard framework backed by Google with extensive community support, TensorFlow is worth considering.
The framework has a steep learning curve, and alternatives like PyTorch offer a more straightforward experience.
For simple machine learning tasks,Scikit-learnprovides an efficient and lightweight solution.
