Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...
Abstract: Solar-powered systems are complex and affected by numerous parameters such as climate conditions, shading, and panel orientation. Artificial neural networks can effectively handle this ...
Abstract: The probabilistic Bayesian neural network(BNN) is good at providing trustworthy outcomes that is important, e.g. in intrusion detection. Due to the complex of probabilistic BNN, it is looks ...
Calling the model on the input returns a 2-dimensional tensor with dim=0 corresponding to each output of 10 raw predicted values for each class, and dim=1 corresponding to the individual values of ...
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