Author: Awais Farooq

Keras callbacks (e.g., EarlyStopping, ModelCheckpoint) are powerful for automating tasks during training, such as saving the best model, stopping training early upon convergence, or adjusting learning rates dynamically.

While Sequential models are straightforward, the Functional API allows for more complex models, including multi-input and multi-output models. It’s essential for building custom architectures.

Keras supports multiple backends like TensorFlow, Theano, and CNTK. TensorFlow is the default and most widely used. Choose the backend that best suits your needs and hardware.