PyTorch
deep-learning framework
Deep learning framework preferred in research
Supported languages
Concepts
tensorsautogradnn.ModuleDataLoaderoptimizers
Deployment Options:
torchserve onnx triton
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 configuration
- - Consumes more memory
Casos de Uso
- Deep learning research
- Computer vision
- NLP and LLMs
- Generative AI