Question: An MLP is used to classify the training points into blue and orange classes. Input features ( ( x 1 , 1 , x 2

An MLP is used to classify the training points into blue and orange classes. Input features ((x1,1,x2)2) are transformed into
.. The MLP accepts y as the input data. What is the minimum number of hidden layers needed to classify the data accurately?

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