Keras
deep-learning framework
High-level API for neural networks
Supported languages
Pros and Cons
Ventajas
- + Simple and intuitive API
- + Rapid prototyping
- + Multi-backend (TensorFlow, JAX, PyTorch)
- + Excellent documentation
- + Extremely simple and intuitive API
- + Fast neural network prototyping
- + Large community and resources
- + Ideal for learning deep learning
Desventajas
- - Less low-level control
- - Harder debugging
- - Less flexible than pure PyTorch
- - Debugging complex models difficult
- - Abstraction hides important details
- - Performance may be lower than low-level
- - Backend dependency
Casos de Uso
- Deep learning
- Computer vision
- NLP
- Rapid prototyping
- Fast model prototyping
- Learning deep learning
- Classic neural networks
- Transfer learning
- Image classification
- Time series with LSTM