- Train a neural network for the designated problem in MATLAB
- Save the network in MATLAB in a .mat file
- Set up the environment on Raspberry Pi by Installing Arm compute Library (Latest supported version). [reference]
- Write a MATLAB script that loads the network & performs prediction. Deploy the code on Raspberry Pi. Generate the executable for raspberry pi for this script.
- Test the network on Raspberry Pi and measure the performace by profiling each function. (Use PIL workflow for profiling) [reference]
Transfer learning and arm compute Library
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Hello, is it possible to train a network from matlab using the arm compute library on a raspberry pi to measure this library performance and influence?
if yes can someone help me to find the way to do that ?
Thank you very much
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Puru Kathuria
il 25 Feb 2021
These stpes might help your requirements:
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