Chapter 3 Summary
In Chapter 3, we explored the Keras API integrated with TensorFlow 2.x, which simplifies building, training, and deploying deep learning models. Keras is designed to make the process of creating neural networks more intuitive, allowing both beginners and advanced practitioners to efficiently prototype and deploy models. The chapter covered the essential aspects of Keras, from defining model architectures to deploying them into production environments.
We began by introducing Keras as a high-level API that abstracts away many complexities of deep learning. The Sequential API was presented as the easiest way to create models by stacking layers in a linear fashion. This approach is ideal for beginners or simpler models, such as basic ...