n² log₂ n + n(log₂ n)² log, n + n log₂ n 3 logs n + log₂ log₂ log₂ n

Is a self-transition mandatory in every State Diagram? Provide evidence to support your response!

Is a self-transition mandatory in every State Diagram? Provide evidence to support your response!

Please provide an example that works for all 3 sub-questions. Don't answer the subquestions.

In this section we create the model object and define the loss function and optimizer. For the loss function use nn.CrossEntropyLoss() instead of the mean-squared loss done in class. Use the same optimizer as in class.   learning_rate = 0.001 num_epochs = 5 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") #this is to use gpu if available   # **create your neural net model here, call the variable 'model'** # ** complete following lines of code to define loss function and optimizer #criterion = **complete this** #optimizer = **complete this**

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