Question: ( a ) Consider a two input XNOR gate and simulate a perceptron algorithm for it , where, learning rate = 0 . 0 2

(a) Consider a two input XNOR gate and simulate a perceptron algorithm for it, where,
learning rate =0.02 and threshold =0.2.
(b) Represent using a multilayer neural network Ao.Bo.Co.Do.E where o. represents
XNOR. What will be the optimal depth and width for this network.
(c) You'd like to train a fully-connected neural network with 7 hidden layers, each with
8 hidden units. The input is 30-dimensional and the output is a binary. What is the
total number of trainable parameters in your network?
(a) Consider a two input XNOR gate and simulate a perceptron

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