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The bottom levels that happen to be nearer to the inputs (the ParallelConv1D blocks inside the diagram) are frozen along with the parameters will stay unchanged at additional tuning the model. The levels which aren't frozen (the higher layers which are closer to the output, extensive small-phrase memory (LSTM) layer, along with the classifier manuf
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The bottom levels that are nearer into the inputs (the ParallelConv1D blocks in the diagram) are frozen plus the parameters will stay unchanged at even further tuning the product. The layers which aren't frozen (the higher layers which might be closer on the output, long brief-term memory (LSTM) layer, and also the classifier designed up of fully c
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