TensorFlow

TensorFlow powers machine learning with tools for building, training, and deploying models across platforms.

Key Features:

• Neural network APIs
• Cross-platform support
• Model training
• Inference optimization
• TensorFlow Lite
• Community-driven models

Use Cases:

• AI Apps: Build ML models.
• Data Science: Train neural networks.
• Prototyping: Test AI concepts.
• Mobile Apps: Deploy ML models.
• SaaS: Power predictive features.

Summary:
TensorFlow is a leading ML library, enabling powerful, scalable AI solutions.