Tag: Sitara AM57x
![TIDEP-01004 – Machine learning inference for embedded applications reference design TIDEP-01004 – Machine learning inference for embedded applications reference design](https://www.electronics-lab.com/wp-content/uploads/2021/06/Screenshot-2021-06-20-at-12-54-45-TIDEP-01004-Machine-learning-inference-for-embedded-applications-reference-design-TI-com-e1624182964953-1024x642.png)
TIDEP-01004 – Machine learning inference for embedded applications reference design
This reference design demonstrates how to use TI Deep Learning (TIDL)/Machine Learning on a Sitara AM57x System-on-Chip (SoC) to bring deep learning inference to an embedded application. This design shows how to run deep learning inference on either C66x DSP cores (available in all...
Continue Reading![Lenovo Open Source RK3399 based AM5708 SBCs Lenovo Open Source RK3399 based AM5708 SBCs](https://www.electronics-lab.com/wp-content/uploads/2019/12/lenovo_leezp710.jpg)
Lenovo Open Source RK3399 based AM5708 SBCs
Lenovo has recently ventured into the community-backed SBC market, flagging off with a Rockchip-based board. They follow suit with fellow PC makers Asus. Their flagship Leez P710 boasts a more powerful, hexa-core Cortex-A72 and -A53 Rockchip RK3399 than that of the Asus Tinker Board’s...
Continue Reading![Machine learning inference for embedded applications reference design Machine learning inference for embedded applications reference design](https://www.electronics-lab.com/wp-content/uploads/2019/08/TIDEP-01004-Machine-learning-inference-for-embedded-applications-reference-design-TI.com_.png)
Machine learning inference for embedded applications reference design
This reference design demonstrates how to use TI Deep Learning (TIDL)/Machine Learning on a Sitara AM57x System-on-Chip (SoC) to bring deep learning inference to an embedded application. This design shows how to run deep learning inference on either C66x DSP cores (available in all...
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