Chapter 2 Summary
In Chapter 2, we explored how to effectively build, train, and deploy deep learning models using TensorFlow 2.x, one of the most powerful and widely used frameworks for machine learning and deep learning. This chapter provided a comprehensive introduction to the core components of TensorFlow, covering everything from creating models to saving, loading, and deploying them in real-world applications.
We began by introducing TensorFlow 2.x, which offers a simplified interface for building deep learning models thanks to its integration with Keras. The Sequential API was used to stack layers and create neural networks, while tensors were introduced as the fundamental data structures in TensorFlow, enabling efficient manipulation of ...