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GATE 2026 · session-8
Machine LearningMulti-Layer PerceptronmediumNAT2 marks
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)
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