Assignment Deliverables Answer the following questions from the "neural network design" book: E2.1, 2.2, 2.4, 3.1, 3.2, 3.7. Note: use Python instead of MATLAB. E2.1 A single input neuron has a weight of 1.3 and a bias of 3.0. What possible kinds of transfer functions, from Table 2.1, could this neuron have, if its output is given below. In each case, give the value of the input that would produce these outputs. (/ 4 points) i. 1.6 ii. 1.0 iii. 0.9963 iv. 1.0 E2.2 Consider a single-input neuron with a bias. We would like the output to be 1 for inputs less than 3 and +1 for inputs greater than or equal to 3 . (/ 2+2+4 points) i. What kind of a transfer function is required? ii. What bias would you suggest? Is your bias in any way related to the input weight? If yes, how? iii. Summarize your network by naming the transfer function and stating the bias and the weight. Draw a diagram of the network. Verify the network performance using Python. E2.4 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: ( / 8 points) 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? E3.1 In this chapter we have designed three different neural networks to distinguish between apples and oranges, based on three sensor measurements (shape, texture and weight). Suppose that we want to distinguish between bananas and pineapples: (/ 4+4+2+4 points)