A multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...
The first step when designing a PyTorch neural network class for multi-class classification is to determine its architecture. Neural architecture includes the number of input and output nodes, the ...
In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
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