In an article recently posted to the Meta Research website, researchers focused on improving vector quantization ... adapted quantization codebooks using neural networks. Unlike previous methods ...

Feature vectors combine all of the features for a single row into a numerical vector ... algorithms, ranging in complexity from linear regression and logistic regression to deep neural networks ...

This paper discusses three basic blocks for the inference of convolutional neural networks (CNNs). Pyramid Vector Quantization [1] (PVQ ... 2 shows the frequency response of a linear phase FIR ...

In this blog, we will talk about quantization in the context of Neural Network (NN) models, as the process of reducing the precision of the weights, biases, and activations. Moving from floating-point ...