How does Keras simplify model training and evaluation compared to other frameworks?

Answer:

Keras simplifies model training and evaluation with accessible high-level methods: fit() for training, evaluate() for testing, and predict() for inference. These strong abstractions reduce workflow complexity compared with frameworks like PyTorch, where training often requires custom code loops. Keras therefore emphasises usability, speeding up model development.