Q56Section DA (Data Science and Artificial Intelligence (Q11–Q65))56 of 65
Number of weights in a bias-free multi-layer perceptron
Consider a fully-connected feed-forward multi-layer perceptron. It has 30 neurons in the input layer, followed by two hidden layers and an output layer. The first hidden layer has 4 neurons and the second hidden layer has 3 neurons. The output layer has only one neuron. Assume that no bias parameters are used. The number of learnable parameters in the multi-layer perceptron is __________ . (Answer in integer)
Numerical answer: type the number (no options).
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