TensorFlow Model Optimization - Quantization and Pruning
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore TensorFlow model optimization techniques in this 41-minute conference talk from TF World '19. Dive into quantization and pruning methods presented by Raziel Alvarez, a TensorFlow performance expert. Learn about the importance of optimization, its benefits in resource-constrained environments, and machine learning efficiency opportunities. Discover various quantization types, tools, and their impact on model accuracy. Examine neural connection pruning, stencil pruning, and tensor pruning techniques. Gain insights into the TensorFlow pruning API and pruning schedules. Understand the roadmap for better target hardware and provide feedback on optimization tools. Conclude with a Q&A session addressing topics such as training with integer constellations.