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?