TensorFlow enables developers to build and deploy machine learning models efficiently. It supports deep learning and various machine learning applications.
Key features
- End-to-end workflow for model building and deployment.
- Support for both CPUs and GPUs.
- Extensive library of pre-built models.
- Customizable architecture for advanced users.
- Strong community support and resources.
Pros
- Free to use with open-source licensing.
- Robust support for deep learning applications.
- Highly scalable for large datasets.
- Comprehensive documentation and tutorials.
Cons
- Steeper learning curve for beginners.
- Limited support for certain niche use cases.
- Performance can vary based on model complexity.