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Which of the following is true when the model overfits during training?
Training and validation accuracy start to decrease
Validation accuracy increases, training accuracy stops to increase
Training accuracy continues to increase, validation accuracy starts decreasing
Validation accuracy becomes significantly smaller than training accuracy
We have defined two-layer model, and it does not show any benefits comparing to one-layer model. What could be the problem?
The size of the hidden layer is larger than the size of the output layer
The size of the hidden layer is the same as the size of the output layer
We have forgotten to specify activation function between layers
You must answer all questions before checking your work.
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