Inside TensorFlow - TF Model Optimization Toolkit - Quantization and Pruning
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into an in-depth technical session on the TensorFlow Model Optimization Toolkit, focusing on quantization and pruning techniques. Explore the challenges of quantization, learn about different approaches including quantization during and after training, and understand the benefits of integer and hybrid quantization. Discover pruning tools, their implementation, and practical examples. Gain insights into quantization kernels, specs, and APIs, as well as the accuracy and performance benefits of these optimization techniques. Enhance your understanding of matrix multiplication in the context of model optimization as presented by TensorFlow Software Engineer Suharsh Sivakumar in this 43-minute technical deep dive.