Here is an example of deploying a basic ML application to an ICE40 using a custom Keras to NN generator https://github.com/edge-analytics/fpga-sleep-tracker htt

Here is an example of deploying a basic ML application to an ICE40 using a custom Keras to NN generator https://github.com/edge-analytics/fpga-sleep-tracker https://github.com/edge-analytics/fpga-sleep-tracker So it definitely can be done with some careful attention to the limited number of multipliers on the device. I’ll be curious to check out how Tensil does in terms of mapping with highly resource constrained FPGAs. Regardless, Tensil looks like a very cool tool.