Inside TensorFlow - New TF Lite Converter
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the new TensorFlow Lite Converter in this 38-minute video presentation by Software Engineer Yu-Cheng Ling. Gain insights into TensorFlow Lite's advantages, including small binary size, fast startup, and quick invocation. Learn why a new converter was necessary and how to use it effectively. Dive into dialect examples for TF and TFL ops, understand the converter's exact functions, and discover techniques for writing transformation passes using TableGen and C++. Follow along with the comprehensive outline covering topics from introduction to specific transformation methods, enhancing your understanding of TensorFlow Lite's capabilities and optimization processes.