Hello
I am doing a research where I have to do a benchmark between a PC with GPU vs the Coral board’s TPU. But I have to use Julia.
The Coral board uses TensorFlow Lite.
Any guidance will be appreciated.
Hello
I am doing a research where I have to do a benchmark between a PC with GPU vs the Coral board’s TPU. But I have to use Julia.
The Coral board uses TensorFlow Lite.
Any guidance will be appreciated.
Tell google to publish documentation about the board so we can properly target it
My plan is to use TensorFlow.jl https://www.youtube.com/watch?v=n2MwJ1guGVQ
In minute 4 with 13 seconds, the presenter says that it is possible to share code with people who are using python.
Once I have created the models I will convert them into TensorFlow Lite. Then compile and send that to the board. Like this:
What do you think?
I was able to install it, however, I couldn’t use it because Tensorflow.jl required conda to install some dependencies and conda didn’t have aarch64 support at the time. Now, I believe it has but haven’t tried again.