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Titlebook: Application of FPGA to Real‐Time Machine Learning; Hardware Reservoir C Piotr Antonik Book 2018 Springer International Publishing AG, part

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楼主: Magnanimous
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Conclusion and Perspectives,It is time to conclude my thesis and discuss several perspectives.
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Frédéric Basso,Carsten Herrmann-Pillathin 2015 with an idea of implementing the backpropagation training algorithm (more on that in Sect. .) in hardware, using our opto-electronic reservoir computer (see Sect. .) with one slight modification.
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Embodying Antiracist Christianityies. This issue has been recently addressed with an automated tissue characterisation method based on machine learning. However, its high demand for computational power results in runtimes too slow for clinical deployment. This chapter relates my 5-month internship in Texas and my attempt at speeding up this automated algorithm.
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