eIQ™ MACHINE LEARNING SOFTWARE DEVELOPMENT ENVIRONMENT
The NXP® eIQ (“edge intelligence”) ML software environment provides the key ingredients to do inference with neural network (NN) models on embedded systems and deploy ML algorithms on NXP microprocessors and microcontrollers for edge nodes. It includes inference engines, NN compilers, libraries and hardware abstraction layers that support TensorFlow Lite, Glow, Arm® NN and Arm CMSIS-NN.
With NXP's i.MX applications processors and i.MX RT crossover MCUs based on Arm Cortex®-A and M cores, respectively, embedded designs can now support deep learning applications that require high-performance data analytics and fast inferencing.
eIQ machine learning software includes a variety of application examples that demonstrate how to integrate neural networks into voice, vision and sensor applications. The developer can choose whether to deploy their ML applications on Arm Cortex A, Cortex M and GPUs, or for high-end acceleration on the neural processing unit of the i.MX 8M Plus.
|
i.MX 8M 、 i.MX RT1064 、 i.MX RT1170 、 i.MX RT600 、 i.MX RT1050 、 i.MX RT1060 、 i.MX RT1160 、 i.MX 8M Plus 、 i.MX 8M Nano 、 i.MX 8M Nano UL 、 i.MX 8M Mini |
|
|
[ AI ][ ML ][ Smart wearables ][ Intelligent factories ][ smart buildings ][ Healthcare ][ diagnostics ][ Logistics ][ Public safety ] |
|
|
Supplier and Product Introduction |
|
|
|
|
Please see the document for details |
|
|
|
|
|
|
|
|
|
|
|
English Chinese Chinese and English Japanese |
|
|
2021/6/4 |
|
|
REV 3 |
|
|
EIQFS |
|
|
627 KB |
- +1 Like
- Add to Favorites
Recommend
- Unleashing the Potential of i.MX 8M Mini in Industrial and Medical Applications
- Ultra-Low IQ PMIC from ROHM Selected to Power NXP iMX8M Nano for High Performance Embedded Artists Industrial Control Board
- Nxp Licenses Advanced TMR Sensor Technology From Crocus Technology
- Keysight, NXP Collaborate to Advance Development of 5G Fixed Wireless Access (FWA) Solutions Enables technology providers to verify CPE
- AEC-Q100 Qualified Clock Generator Adopted on NXP S32G Automotive Network Processor Reference Design
- Alliance Memory Launched 8M Low-Power CMOS SRAM With 2.7-V to 3.6-V Power Supply in TSOP-I Package
- Alliance Memory Launched Two 8M Fast CMOS SRAMs AS7C38096A and AS7C38098A in 44-Pin TSOP-II and 48-Ball TFBGA Packages
- Alliance Memory Introduced High-Speed CMOS Synchronous DRAMs With 128-Mb and 256-Mb Densities in 54-Ball TFBGA Package
All reproduced articles on this site are for the purpose of conveying more information and clearly indicate the source. If media or individuals who do not want to be reproduced can contact us, which will be deleted.
Integrated Circuits
Discrete Components
Connectors & Structural Components
Assembly UnitModules & Accessories
Power Supplies & Power Modules
Electronic Materials
Instrumentation & Test Kit
Electrical Tools & Materials
Mechatronics
Processing & Customization
