Inside TensorFlow - AutoGraph
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive deep into AutoGraph implementation, usage, and common pitfalls with TensorFlow Software Engineer Dan Moldovan in this 54-minute technical presentation from the Inside TensorFlow series. Explore topics such as function lifecycle, caching, overloading, Python scope preservation, and debugging techniques. Learn about the interplay between Python and Graph code, Eager execution, TensorFlow control flow restrictions, and exception-driven control flow. Gain insights into handling Python collections, shape invariants, type changes, and graph construction errors. Enhance your understanding of AutoGraph's power features and improve your TensorFlow development skills through this comprehensive insider's look at the technology.