Strengths
- Highly intuitive and easy to learn for beginners
- Strong integration with TensorFlow ecosystem
- Large community and extensive documentation
- Supports rapid prototyping and experimentation
- Wide range of pretrained models and layers
Limitations
- Less control over low-level operations compared to raw TensorFlow
- Performance overhead in some complex or custom scenarios
- Limited support for some cutting-edge research features initially