For the original Espruino is the build file ESPRUINOBOARD.py
Finally is the entry point for the TensorFlow api var tf = require("tensorflow").create(2048, model). I had a look at the documentation on the website but couldn’t see anything for TensorFlow.
Looking forward to getting the Bangle board, tensorflow addition is exciting.
Espruino is a JavaScript interpreter for low-power Microcontrollers. This site is both a support community for Espruino and a place to share what you are working on.
Thanks for the quick response Gordon. I’ll give it a try.
To check for a custom build example cli is below.
python MDBT42Q.py -k -p MySerialPort -evw espruino_for_your_device.bin.
For the original Espruino is the build file ESPRUINOBOARD.py
Finally is the entry point for the TensorFlow api var tf = require("tensorflow").create(2048, model). I had a look at the documentation on the website but couldn’t see anything for TensorFlow.
Looking forward to getting the Bangle board, tensorflow addition is exciting.