NXP eIQ™ Machine Learning Software Development Environment for QorIQ Layerscape Applications Processors
●Machine Learning (ML) is a computer science domain that has its roots in the 1960s. ML provides algorithms capable of finding patterns and rules in data. ML is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of ML is to build algorithms that can receive input data and use statistical analysis to predict an output while updating output as new data becomes available.
●In 2010, the so-called deep learning started. It is a fast-growing subdomain of ML, based on Neural Networks (NN). Inspired by the human brain, deep learning achieved state-of-the-art results in various tasks; for example, Computer Vision (CV) and Natural Language Processing (NLP). Neural networks are capable of learning complex patterns from millions of examples. A huge adaptation is expected in the embedded world, where NXP is the leader. NXP created eIQ machine learning software for QorIQ Layerscape applications processors, a set of ML tools which allows developing and deploying ML applications on the QorIQ Layerscape family of devices.
●This document provides guidance for the supported ML software for the QorIQ Layerscape processors. The document is divided into separate sections, starting with the NXP eIQ introduction, eIQ components, and the step-by step guide for running some examples.
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Application note & Design Guide |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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12/2020 |
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Rev. 3 |
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AN12580 |
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1 MB |
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