Inside TensorFlow - Functions, Not Sessions

This course aims to teach learners about the transition from tf.Session to tf.function in TensorFlow. By the end of the course, students will understand the history of tf.Session, its drawbacks, and the motivation behind tf.function. They will also learn about the main classes and functions in the front-end used to generate graphs from tf.functions. The course covers topics such as TensorFlow Functions, Variables, Automatic Control, Calling Functions, and Variable Subclasses. The teaching method involves technical deep dives by TensorFlow Software Engineer Alexandre Passos. This course is intended for individuals interested in gaining a deeper understanding of TensorFlow and its functionalities.