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Which is correct?

What is typically used in modelling?

What is meant by learning?

What are the two criteria for generality?

Do neural networks start with initially random weights?

In supervised learning, what happens after each input pattern?

What variant of learning does deep learning use?

Can deep learning approach and exceed human knowledge on tasks such as face and object recognition?

Which output neuron wins in competitive learning?

What ensures that each output unit has a fair chance of responding to each input pattern?