The learning price normally takes an exponential decay plan, using an Preliminary learning amount of 0.01 plus a decay rate of 0.nine. Adam is chosen as the optimizer with the network, and binary cross-entropy is chosen as the reduction purpose. The pre-trained product is qualified for one hundred epochs. For each epoch, the decline about the valid
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