We created the deep Discovering-based FFE neural network construction based upon the understanding of tokamak diagnostics and simple disruption physics. It truly is established the opportunity to extract disruption-related designs proficiently. The FFE gives a foundation to transfer the product to your goal domain. Freeze & fine-tune parameter-base
When transferring the pre-properly trained design, part of the model is frozen. The frozen layers are generally The underside on the neural network, as They're regarded to extract typical characteristics. The parameters in the frozen layers will not update in the course of schooling. The rest of the layers usually are not frozen and are tuned with
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