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The bottom layers that are closer towards the inputs (the ParallelConv1D blocks within the diagram) are frozen and also the parameters will stay unchanged at further tuning the model. The layers which are not frozen (the upper layers which are nearer to your output, very long limited-phrase memory (LSTM) layer, along with the classifier created up

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