eIQ® Toolkit | NXP Semiconductors

eIQ® Toolkit for End-to-End Model Development and Deployment

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Diagram

eIQ Toolkit Block Diagram

eIQ Toolkit Block Diagram

Features

eIQ Toolkit

  • Enables graph-level profiling capability with runtime insights to help optimize neural network architectures for execution on target EdgeVerse™ processors
  • Time Series Studio (TSS), featuring automated machine learning, simplifies and accelerates the development and deployment for time series based AI models
  • Includes ML application examples
  • Select from a database of pre-trained models or “Bring your own model” (BYOM)
  • Transfer learning feature supports “Bring your own data” (BYOD) flow and supports working with user's own data
  • Import models from TensorFlow or Pytorch frameworks or in ONNX format with built in conversion tools

eIQ Extensions

  • NVIDIA TAO Toolkit integration for deploying pre-trained vision ML models on NXP devices
  • Model IP protection
  • Explainable AI for classification and object detection

Supported Devices

Downloads

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Note: For better experience, software downloads are recommended on desktop.

Y true 0 SSPEIQ-TOOLKITen 16 Application Note Application Note t789 1 Fact Sheet Fact Sheet t523 1 Release Note Release Note t933 7 User Guide User Guide t792 7 en_US 1 1 1.6.9 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1675781618896716137772 SSP 4.6 MB None None documents None 1675781618896716137772 /docs/en/user-guide/EIQTKUG-1.6.9.pdf 4618219 /docs/en/user-guide/EIQTKUG-1.6.9.pdf EIQTKUG-1.6.9 N N 2023-02-07 eIQ Toolkit User Guide 1.6.9 /docs/en/user-guide/EIQTKUG-1.6.9.pdf /docs/en/user-guide/EIQTKUG-1.6.9.pdf User Guide N Y 132339537837198660 2023-02-07 pdf N en Feb 7, 2023 User Guide t792 User Guide User Guide Y N eIQ Toolkit User Guide 1.6.9 false en_US en Application Note Application Note 1 2 0 Chinese AN13769: This document focuses on the conversion, quantization, and optimization of PyTorch models to the TensorFlow Lite and DeepViewRT inference engines. 1670996429930711970276zh SSP 2.9 MB Registration without Disclaimer None documents Basic 1670996429930711970276 /secured/assets/documents/zh/application-note/AN13769.pdf 2865615 /secured/assets/documents/zh/application-note/AN13769.pdf AN13769 documents Y N 2022-12-13 Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX /secured/assets/documents/zh/application-note/AN13769.pdf https://www.nxp.com.cn/webapp/Download?colCode=AN13769&docLang=zh Application Note N 645036621402383989 2024-12-13 zh Dec 13, 2022 645036621402383989 Application Note Y N 使用ONNX,将PyTorch模型部署到恩智浦支持的推理引擎 0 English AN13769: This document focuses on the conversion, quantization, and optimization of PyTorch models to the TensorFlow Lite and DeepViewRT inference engines. 1670996429930711970276 SSP 2.9 MB Registration without Disclaimer None documents Basic 1670996429930711970276 /secured/assets/documents/en/application-note/AN13769.pdf 2865615 /secured/assets/documents/en/application-note/AN13769.pdf AN13769 documents Y N 2022-12-13 Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX /webapp/Download?colCode=AN13769 /secured/assets/documents/en/application-note/AN13769.pdf Application Note N 645036621402383989 2024-12-13 pdf Y en Dec 13, 2022 645036621402383989 Application Note Y N Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX User Guide User Guide 6 3 18 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1648748585935713787321 SSP 10.9 MB Registration without Disclaimer None documents Extended 1648748585935713787321 /secured/assets/documents/en/user-guide/EIQTUG.pdf 10925248 /secured/assets/documents/en/user-guide/EIQTUG.pdf EIQTUG documents Y N 2022-03-31 eIQ Toolkit 1.14.0 User Guide /webapp/Download?colCode=EIQTUG /secured/assets/documents/en/user-guide/EIQTUG.pdf User Guide N 132339537837198660 2025-01-21 pdf Y en Jan 18, 2025 132339537837198660 User Guide Y N eIQ Toolkit 1.14.0 User Guide 4 1.8.0 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1689873159728726489299 SSP 10.5 MB None None documents None 1689873159728726489299 /docs/en/user-guide/EIQTKUG-1.8.0.pdf 10510146 /docs/en/user-guide/EIQTKUG-1.8.0.pdf EIQTKUG-1.8.0 documents N N 2023-07-20 eIQ Toolkit User Guide 1.8.0 /docs/en/user-guide/EIQTKUG-1.8.0.pdf /docs/en/user-guide/EIQTKUG-1.8.0.pdf User Guide N 132339537837198660 2024-11-20 pdf N en Jul 20, 2023 132339537837198660 User Guide Y N eIQ Toolkit User Guide 1.8.0 5 1.7.3 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1682096067314718620473 SSP 8.7 MB Registration without Disclaimer None documents Extended 1682096067314718620473 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf 8668956 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf EIQTKUG-1.7.3 documents Y N 2023-04-21 eIQ Toolkit User Guide 1.7.3 /webapp/Download?colCode=EIQTKUG-1.7.3 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf User Guide N 132339537837198660 2023-07-25 pdf Y en Apr 21, 2023 132339537837198660 User Guide Y N eIQ Toolkit User Guide 1.7.3 6 6 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1664991637685721178622 SSP 5.7 MB Registration without Disclaimer None documents Extended 1664991637685721178622 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf 5702013 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf EIQTKUG-1.5.2 documents Y N 2022-10-05 eIQ Toolkit User Guide 1.5.2 /webapp/Download?colCode=EIQTKUG-1.5.2 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf User Guide N 132339537837198660 2023-06-18 pdf Y en Oct 5, 2022 132339537837198660 User Guide Y N eIQ Toolkit User Guide 1.5.2 7 1.4.5 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1657660546003702587837 SSP 3.0 MB Registration without Disclaimer None documents Extended 1657660546003702587837 /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf 3015151 /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf EIQTKUG_1.4.5 documents Y N 2022-07-12 eIQ Toolkit 1.4.5 User’s Guide /webapp/Download?colCode=EIQTKUG_1.4.5 /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf User Guide N 132339537837198660 2022-12-07 pdf Y en Jul 12, 2022 132339537837198660 User Guide Y N eIQ Toolkit 1.4.5 User’s Guide 8 3 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SOCs. 1642536766242719410567 SSP 2.6 MB Registration without Disclaimer None documents Extended 1642536766242719410567 /secured/assets/documents/en/user-guide/EIQ-UG.pdf 2571110 /secured/assets/documents/en/user-guide/EIQ-UG.pdf EIQ-UG documents Y N 2022-01-18 eIQ Toolkit 1.2.5 User’s Guide /webapp/Download?colCode=EIQ-UG /secured/assets/documents/en/user-guide/EIQ-UG.pdf User Guide N 132339537837198660 2023-06-18 pdf Y en Jan 18, 2022 132339537837198660 User Guide Y N eIQ Toolkit 1.2.5 User’s Guide Fact Sheet Fact Sheet 1 9 4 Japanese Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs 1562948465206707057398ja SSP 653.2 KB None None documents None 1562948465206707057398 /docs/ja/fact-sheet/EIQ-FS.pdf 653150 /docs/ja/fact-sheet/EIQ-FS.pdf EIQ-FS documents N N 2019-07-12 eIQ Software Fact Sheet /docs/ja/fact-sheet/EIQ-FS.pdf /docs/ja/fact-sheet/EIQ-FS.pdf Fact Sheet N 736675474163315314 2022-12-07 ja Jul 11, 2023 736675474163315314 Fact Sheet Y N eIQ 機械学習ソフトウェア開発環境 4 English Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs 1562948465206707057398 SSP 653.2 KB None None documents None 1562948465206707057398 /docs/en/fact-sheet/EIQ-FS.pdf 653150 /docs/en/fact-sheet/EIQ-FS.pdf EIQ-FS documents N N 2019-07-12 eIQ Software Fact Sheet /docs/en/fact-sheet/EIQ-FS.pdf /docs/en/fact-sheet/EIQ-FS.pdf Fact Sheet N 736675474163315314 2022-12-07 pdf N en Jan 21, 2022 736675474163315314 Fact Sheet Y N eIQ Software Fact Sheet Release Note Release Note 7 10 19 Y English https://docs.nxp.com/bundle/EIQTRN/page/topics/overview.html This document contains information about the content, new features, and limitations of the eIQToolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning models as efficiently as possible on NXP hardware 1648748265118722294554 SSP 135.7 KB None None documents None 1648748265118722294554 /docs/en/release-note/EIQTRN.pdf 135679 /docs/en/release-note/EIQTRN.pdf EIQTRN documents N N Y 2022-03-31 eIQ Toolkit 1.15.0 Release Notes https://docs.nxp.com/bundle/EIQTRN/page/topics/overview.html /docs/en/release-note/EIQTRN.pdf Release Note N 487216834315582133 /bundle/EIQTRN/page/topics/overview.html /docs/en/release-note/EIQTRN.pdf 2025-04-12 135.7 KB pdf N en Apr 7, 2025 updated 487216834315582133 Release Note Y N eIQ Toolkit 1.15.0 Release Notes 11 1.8.0 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning models as efficiently as possible on NXP hardware. 1689874055031711623924 SSP 169.6 KB None None documents None 1689874055031711623924 /docs/en/release-note/EIQTRN-1.8.0.pdf 169618 /docs/en/release-note/EIQTRN-1.8.0.pdf EIQTRN-1.8.0 documents N N 2023-07-20 eIQ Toolkit 1.8.0 Release Notes /docs/en/release-note/EIQTRN-1.8.0.pdf /docs/en/release-note/EIQTRN-1.8.0.pdf Release Note N 487216834315582133 2023-07-20 pdf N en Jul 20, 2023 487216834315582133 Release Note Y N eIQ Toolkit 1.8.0 Release Notes 12 1.7.3 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware 1682096405039725396288 SSP 169.4 KB None None documents None 1682096405039725396288 /docs/en/release-note/EIQTRN-1.7.3.pdf 169406 /docs/en/release-note/EIQTRN-1.7.3.pdf EIQTRN-1.7.3 documents N N 2023-04-21 eIQ Toolkit 1.7.3 Release Notes /docs/en/release-note/EIQTRN-1.7.3.pdf /docs/en/release-note/EIQTRN-1.7.3.pdf Release Note N 487216834315582133 2023-04-21 pdf N en Apr 21, 2023 487216834315582133 Release Note Y N eIQ Toolkit 1.7.3 Release Notes 13 1.6.9 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware 1675781840847690473344 SSP 168.5 KB None None documents None 1675781840847690473344 /docs/en/release-note/EIQTRN-1.6.9.pdf 168532 /docs/en/release-note/EIQTRN-1.6.9.pdf EIQTRN-1.6.9 documents N N 2023-02-07 eIQ Toolkit 1.6.9 Release Notes /docs/en/release-note/EIQTRN-1.6.9.pdf /docs/en/release-note/EIQTRN-1.6.9.pdf Release Note N 487216834315582133 2023-02-07 pdf N en Feb 7, 2023 487216834315582133 Release Note Y N eIQ Toolkit 1.6.9 Release Notes 14 1.5.2 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware 1664991241936703442122 SSP 108.4 KB Registration without Disclaimer None documents Extended 1664991241936703442122 /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf 108369 /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf EIQTRN-1.5.2 documents Y N 2022-10-05 eIQ Toolkit 1.5.2 Release Notes /webapp/Download?colCode=EIQTRN-1.5.2 /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf Release Note N 487216834315582133 2023-06-18 pdf Y en Oct 5, 2022 487216834315582133 Release Note Y N eIQ Toolkit 1.5.2 Release Notes 15 1.4.5 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. 1657660732145712008392 SSP 118.3 KB Registration without Disclaimer None documents Extended 1657660732145712008392 /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf 118268 /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf EIQTRN_1.4.5 documents Y N 2022-07-12 eIQ Toolkit 1.4.5 Release Notes /webapp/Download?colCode=EIQTRN_1.4.5 /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf Release Note N 487216834315582133 2022-12-07 pdf Y en Jul 12, 2022 487216834315582133 Release Note Y N eIQ Toolkit 1.4.5 Release Notes 16 3 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. 1642536213501714780256 SSP 112.3 KB None None documents None 1642536213501714780256 /docs/en/release-note/EIQ-RN.pdf 112294 /docs/en/release-note/EIQ-RN.pdf EIQ-RN documents N N 2022-01-18 eIQ Toolkit 1.2.5 Release Notes /docs/en/release-note/EIQ-RN.pdf /docs/en/release-note/EIQ-RN.pdf Release Note N 487216834315582133 2022-12-07 pdf N en Jan 18, 2022 487216834315582133 Release Note Y N eIQ Toolkit 1.2.5 Release Notes false 0 EIQ-TOOLKIT downloads en true 1 Y SSP Y Y Application Note 1 2022-12-13 Dec 13, 2022 Application Note AN13769: This document focuses on the conversion, quantization, and optimization of PyTorch models to the TensorFlow Lite and DeepViewRT inference engines. /secured/assets/documents/en/application-note/AN13769.pdf documents 2024-12-13 /webapp/Download?colCode=AN13769 645036621402383989 en Basic pdf N 2.9 MB AN13769 1670996429930711970276 /secured/assets/documents/en/application-note/AN13769.pdf 1670996429930711970276 SSP 2 Registration without Disclaimer English 2865615 None 645036621402383989 Y Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX /secured/assets/documents/en/application-note/AN13769.pdf documents Application Note N Y 0 Y Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX N Fact Sheet 1 2019-07-12 Jan 21, 2022 Fact Sheet Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs /docs/en/fact-sheet/EIQ-FS.pdf documents 2022-12-07 /docs/en/fact-sheet/EIQ-FS.pdf 736675474163315314 en None pdf N 653.2 KB EIQ-FS 1562948465206707057398 /docs/en/fact-sheet/EIQ-FS.pdf 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/docs/en/release-note/EIQTRN.pdf documents Release Note N Y 19 N eIQ Toolkit 1.15.0 Release Notes N 2023-07-20 Jul 20, 2023 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning models as efficiently as possible on NXP hardware. /docs/en/release-note/EIQTRN-1.8.0.pdf documents 2023-07-20 /docs/en/release-note/EIQTRN-1.8.0.pdf 487216834315582133 en None pdf N 169.6 KB EIQTRN-1.8.0 1689874055031711623924 /docs/en/release-note/EIQTRN-1.8.0.pdf 1689874055031711623924 SSP 11 None English 169618 None 487216834315582133 N eIQ Toolkit 1.8.0 Release Notes /docs/en/release-note/EIQTRN-1.8.0.pdf documents Release Note N Y 1.8.0 N eIQ Toolkit 1.8.0 Release Notes N 2023-04-21 Apr 21, 2023 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware /docs/en/release-note/EIQTRN-1.7.3.pdf documents 2023-04-21 /docs/en/release-note/EIQTRN-1.7.3.pdf 487216834315582133 en None pdf N 169.4 KB EIQTRN-1.7.3 1682096405039725396288 /docs/en/release-note/EIQTRN-1.7.3.pdf 1682096405039725396288 SSP 12 None English 169406 None 487216834315582133 N eIQ Toolkit 1.7.3 Release Notes /docs/en/release-note/EIQTRN-1.7.3.pdf documents Release Note N Y 1.7.3 N eIQ Toolkit 1.7.3 Release Notes N 2023-02-07 Feb 7, 2023 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware /docs/en/release-note/EIQTRN-1.6.9.pdf documents 2023-02-07 /docs/en/release-note/EIQTRN-1.6.9.pdf 487216834315582133 en None pdf N 168.5 KB EIQTRN-1.6.9 1675781840847690473344 /docs/en/release-note/EIQTRN-1.6.9.pdf 1675781840847690473344 SSP 13 None English 168532 None 487216834315582133 N eIQ Toolkit 1.6.9 Release Notes /docs/en/release-note/EIQTRN-1.6.9.pdf documents Release Note N Y 1.6.9 N eIQ Toolkit 1.6.9 Release Notes N 2022-10-05 Oct 5, 2022 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf documents 2023-06-18 /webapp/Download?colCode=EIQTRN-1.5.2 487216834315582133 en Extended pdf N 108.4 KB EIQTRN-1.5.2 1664991241936703442122 /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf 1664991241936703442122 SSP 14 Registration without Disclaimer English 108369 None 487216834315582133 Y eIQ Toolkit 1.5.2 Release Notes /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf documents Release Note N Y 1.5.2 Y eIQ Toolkit 1.5.2 Release Notes N 2022-07-12 Jul 12, 2022 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf documents 2022-12-07 /webapp/Download?colCode=EIQTRN_1.4.5 487216834315582133 en Extended pdf N 118.3 KB EIQTRN_1.4.5 1657660732145712008392 /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf 1657660732145712008392 SSP 15 Registration without Disclaimer English 118268 None 487216834315582133 Y eIQ Toolkit 1.4.5 Release Notes /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf documents Release Note N Y 1.4.5 Y eIQ Toolkit 1.4.5 Release Notes N 2022-01-18 Jan 18, 2022 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. /docs/en/release-note/EIQ-RN.pdf documents 2022-12-07 /docs/en/release-note/EIQ-RN.pdf 487216834315582133 en None pdf N 112.3 KB EIQ-RN 1642536213501714780256 /docs/en/release-note/EIQ-RN.pdf 1642536213501714780256 SSP 16 None English 112294 None 487216834315582133 N eIQ Toolkit 1.2.5 Release Notes /docs/en/release-note/EIQ-RN.pdf documents Release Note N Y 3 N eIQ Toolkit 1.2.5 Release Notes N User Guide 7 2022-03-31 Jan 18, 2025 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. /secured/assets/documents/en/user-guide/EIQTUG.pdf documents 2025-01-21 /webapp/Download?colCode=EIQTUG 132339537837198660 en Extended pdf N 10.9 MB EIQTUG 1648748585935713787321 /secured/assets/documents/en/user-guide/EIQTUG.pdf 1648748585935713787321 SSP 3 Registration without Disclaimer English 10925248 None 132339537837198660 Y eIQ Toolkit 1.14.0 User Guide /secured/assets/documents/en/user-guide/EIQTUG.pdf documents User Guide N Y 18 Y eIQ Toolkit 1.14.0 User Guide N 2023-07-20 Jul 20, 2023 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. /docs/en/user-guide/EIQTKUG-1.8.0.pdf documents 2024-11-20 /docs/en/user-guide/EIQTKUG-1.8.0.pdf 132339537837198660 en None pdf N 10.5 MB EIQTKUG-1.8.0 1689873159728726489299 /docs/en/user-guide/EIQTKUG-1.8.0.pdf 1689873159728726489299 SSP 4 None English 10510146 None 132339537837198660 N eIQ Toolkit User Guide 1.8.0 /docs/en/user-guide/EIQTKUG-1.8.0.pdf documents User Guide N Y 1.8.0 N eIQ Toolkit User Guide 1.8.0 N 2023-04-21 Apr 21, 2023 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf documents 2023-07-25 /webapp/Download?colCode=EIQTKUG-1.7.3 132339537837198660 en Extended pdf N 8.7 MB EIQTKUG-1.7.3 1682096067314718620473 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf 1682096067314718620473 SSP 5 Registration without Disclaimer English 8668956 None 132339537837198660 Y eIQ Toolkit User Guide 1.7.3 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf documents User Guide N Y 1.7.3 Y eIQ Toolkit User Guide 1.7.3 N 2022-10-05 Oct 5, 2022 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf documents 2023-06-18 /webapp/Download?colCode=EIQTKUG-1.5.2 132339537837198660 en Extended pdf N 5.7 MB EIQTKUG-1.5.2 1664991637685721178622 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf 1664991637685721178622 SSP 6 Registration without Disclaimer English 5702013 None 132339537837198660 Y eIQ Toolkit User Guide 1.5.2 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf documents User Guide N Y 6 Y eIQ Toolkit User Guide 1.5.2 N 2022-07-12 Jul 12, 2022 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf documents 2022-12-07 /webapp/Download?colCode=EIQTKUG_1.4.5 132339537837198660 en Extended pdf N 3.0 MB EIQTKUG_1.4.5 1657660546003702587837 /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf 1657660546003702587837 SSP 7 Registration without Disclaimer English 3015151 None 132339537837198660 Y eIQ Toolkit 1.4.5 User’s Guide /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf documents User Guide N Y 1.4.5 Y eIQ Toolkit 1.4.5 User’s Guide N 2022-01-18 Jan 18, 2022 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SOCs. /secured/assets/documents/en/user-guide/EIQ-UG.pdf documents 2023-06-18 /webapp/Download?colCode=EIQ-UG 132339537837198660 en Extended pdf N 2.6 MB EIQ-UG 1642536766242719410567 /secured/assets/documents/en/user-guide/EIQ-UG.pdf 1642536766242719410567 SSP 8 Registration without Disclaimer English 2571110 None 132339537837198660 Y eIQ Toolkit 1.2.5 User’s Guide /secured/assets/documents/en/user-guide/EIQ-UG.pdf documents User Guide N Y 3 Y eIQ Toolkit 1.2.5 User’s Guide N /docs/en/user-guide/EIQTKUG-1.6.9.pdf 2023-02-07 1675781618896716137772 SSP 1 Feb 7, 2023 User Guide User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. None /docs/en/user-guide/EIQTKUG-1.6.9.pdf English 4618219 None User Guide 2023-02-07 N /docs/en/user-guide/EIQTKUG-1.6.9.pdf eIQ Toolkit User Guide 1.6.9 /docs/en/user-guide/EIQTKUG-1.6.9.pdf documents 132339537837198660 User Guide N Y en None Y t792 pdf 1.6.9 N N eIQ Toolkit User Guide 1.6.9 4.6 MB EIQTKUG-1.6.9 N 1675781618896716137772 true Y Softwares

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