Quantization: Revision history

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21 March 2023

  • curprev 01:1201:12, 21 March 2023‎ Walle talk contribs‎ 2,897 bytes +2,897‎ Created page with "{{see also|Machine learning terms}} ==Quantization in Machine Learning== Quantization is a technique utilized in machine learning and deep learning to reduce the size of models and computational resources needed for their operation. The process entails approximating the continuous values of parameters, such as weights and activations, using a smaller, discrete set of values. Quantization is particularly useful in deploying models on resource-constrained devices,..."
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