Machine Learning Quantization
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#edgeanalytics #machinelearning #quantization in this video we will be talking on how model can optimized to run low compute and memory devices.
Kurt keutzer, uc berkeley, geoffrey burr, ibm, bill dally, nvidia, and ralph wittig, xi. Pushing ai over the edge part b. In lecture 15, guest lecturer song han discusses algorithms and specialized hardware that can be used to accelerate training inference of deep learning w.
Hailo machine learning meetup presents. Tutorial 2, hot chips 30 (2018), sunday, august 19, 2018. Microcontrollers such as cortexm processors are increasingly important in traditional machine learning algorithms linear svm and kmeans clustering,.
Vector quantization part2. Nuno vasconcelos the problem of quantizing activations a deep neural network is considered. #machinelearning #neuralnetwork #quantization in this video we talk about post training model quantization that allows for reduced precision representations.
Https//www/watchv=eywmlmc9r4 is a compression technique used for large data sets.
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Machine Learning Quantization
