3. Keras Bridges Flexibility and Power

Keras, running on TensorFlow, offers the best of both worlds: rapid prototyping and deployment-ready code. Géron carefully walks through the Sequential and Functional APIs, introducing dense layers, dropout, batch normalization, and custom callbacks. Readers learn how to control training with checkpoints, learning rate schedules, and early stopping. TensorBoard is used for visualization and debugging. The book demystifies neural nets — breaking them down into manageable components with clear, well-structured code. You don't just build models; you understand their inner mechanic.