A two-layer neural network is to have four inputs and six outputs. the range of the outputs is to be continous between 0 and 1. what can tell you 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 reuqired in either layer

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