Question: A two-layer neural network is to have four inputs and six outputs. The range of the outputs is to be continuous between 0 and 1.

A two-layer neural network is to have four inputs and six outputs. The range of the outputs is to be continuous between 0 and 1. What can you tell about the network architecture? Specifically:

i. How many neurons are required in each layer?

ii. What are the dimensions of the first-layer and second-layer weight matrices?

iii. What kinds of transfer functions can be used in each layer?

iv. Are biases required in either layer?

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