Inside TensorFlow - Quantization Aware Training
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore quantization aware training in this 31-minute tutorial from the Inside TensorFlow series. Learn the fundamentals of quantization aware training, discover the TensorFlow/Keras API used for implementation, and follow along as Software Engineer Pulkit Bhuwalka demonstrates the process. Dive into topics such as optimizing ML models, uniform/linear quantization, recovering lost accuracy, and implementing QAT with Keras. Gain insights on quantizing entire models or subsets, customizing quantized layers, and writing your own quantization algorithms. Understand core Keras abstractions, layer lifecycle, model-layer interactions, and Keras wrappers. Access additional resources through provided documentation and GitHub links to enhance your understanding of quantization aware training in TensorFlow.