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| -rw-r--r-- | README.md | 2 |
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@@ -24,7 +24,7 @@ Arm NN outperforms generic ML libraries due to **Arm architecture-specific optim utilizes the [Ethos-N NPU Driver](https://github.com/ARM-software/ethos-n-driver-stack). For Arm Cortex-M acceleration, please see [CMSIS-NN](https://github.com/ARM-software/CMSIS_5). -Arm NN is written using portable **C++14** and built using [CMake](https://cmake.org/) - enabling builds for a wide +Arm NN is written using portable **C++17** and built using [CMake](https://cmake.org/) - enabling builds for a wide variety of target platforms, from a wide variety of host environments. **Python** developers can interface with Arm NN through the use of our **Arm NN TF Lite Delegate**. |