Strengths
- Highly flexible and scalable for a wide range of machine learning tasks
- Strong community and extensive documentation
- Supports multiple languages and platforms
- Rich ecosystem including TensorBoard and TensorFlow Lite
- Optimized for hardware accelerators like GPUs and TPUs
Limitations
- Steep learning curve for beginners without prior ML experience
- Can be resource-intensive for large models without proper hardware
- Occasional API changes may require code updates