TensorFlow

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.
• Active community for collaboration and learning.

Cons

• Steeper learning curve for beginners.
• Limited support for certain niche use cases.
• Performance can vary based on model complexity.
• Integration with non-Python languages may be challenging.