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GATE DA 2026 Q56: Parameter count of a small MLP without biases

Question

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)

Try it: numerical answer: type the value

Numerical answer. No negative marking.
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Answer: 135 (official GATE 2026 final answer key)

Concept used: Each fully connected layer without bias has (inputs × outputs) weights.

First step: 30×4+4×3+3×130 \times 4 + 4 \times 3 + 3 \times 1.

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Source: official GATE 2026 DA question paper and final answer key, organised by IIT Guwahati. Question paper · Answer key

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