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Автор: Nguyen, Khang T (Intel) Последнее обновление: 06.07.2019 - 16:40
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利用英特尔® 数据分析加速库提高 Python* 语言中朴素贝叶斯算法的性能

This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) [2]. It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL) [3] to improve the performance of an NB algorithm.
Автор: Nguyen, Khang T (Intel) Последнее обновление: 06.07.2019 - 16:30
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Автор: Karl Fezer (Intel) Последнее обновление: 11.03.2019 - 13:17
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The aim of the work was to implement, train and evaluate the quality of automated brain tumor multi-label segmentation technique for Magnetic Resonance Imaging based on Tiramisu deep learning architecture.
Автор: Kocot, Szymon Последнее обновление: 26.03.2019 - 16:20
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In this article I will cover the steps required to create the dataset required to train the model using the network we defined in the last tutorial.
Автор: Milton-Barker, Adam Последнее обновление: 07.06.2019 - 16:47