Keras

Keras simplifies the process of building and training neural networks. It is designed for fast experimentation with deep learning models.

Key Features

• User-friendly API for building models.
• Supports both convolutional and recurrent networks.
• Extensible and modular architecture.
• Integration with TensorFlow for advanced capabilities.
• Pre-trained models for quick deployment.

Pros

• Easy to learn and use for beginners.
• Highly customizable for advanced users.
• Strong community support and documentation.
• Compatible with multiple backend engines.

Cons

• Limited flexibility for highly complex models.
• Performance may lag for very large datasets.
• Fewer built-in optimization techniques compared to competitors.
• Some advanced features may require additional libraries.