Unveiling the Power of TensorFlow 2.x: A Comprehensive Primer on Execution Modes and Model Building APIs

TensorFlow 2.x, developed by Google, stands as a pivotal tool in machine learning and deep learning domains, offering user-friendly features and enhanced performance crucial for developers and researchers. This article presents a comprehensive exploration of TensorFlow 2.x's execution modes, including eager execution and graph mode, alongside detailed insights into model building APIs such as Symbolic, Functional, and Imperative APIs. Additionally, the article offers guidance on choosing the appropriate API for specific project requirements, empowering readers to harness the full potential of TensorFlow 2.x in building cutting-edge machine learning models.