Languages
Features
deep-learningneural-networksresearchdynamic-graphs
Pros and Cons
Ventajas
- + Dynamic graphs (easy debugging)
- + Very Pythonic API
- + Dominant in research
- + Very active community
- + Excellent documentation
Desventajas
- - Deployment more complex than TF
- - TensorBoard requires config
- - Consumes more memory
- - Fewer production tools
Casos de Uso
- Deep learning research
- Computer vision
- NLP and LLMs
- Generative AI