Bureaucrats, dave_user, Administrators
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→NN accelerator: DPU
By nature, data produced by spectrometers is a one-dimensional vector. In the previous section, this vector was used to feed the NN model. Even though this is not conceptually wrong, this approach does not exploit the DPU accelerator efficiently. As known, DPU is optimized to run convolutional NN. Therefore, the model should be fed with data formatted as "images" to optimize hardware-accelerated inference algorithms.
The configuration described in this paragraph makes use of a true convolutional NN, which is fed with multi-dimensional vectors. With respect to the baseline model, fully connected layers — which act are bottlenecks from the computational perspective in DPU-based systems — were removed.
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