Integrating TensorFlow with BigHead

This chapter explores the technical details of the BigHead library for building machine learning models in Python, emphasizing its seamless integration with TensorFlow. It discusses the unique graph scheduler for real-time execution, simplifying user interactions while addressing data management challenges. The chapter also highlights TensorFlow's advancements, including eager execution and improved visualization tools, while emphasizing the importance of foundational tools for machine learning at scale.