Explain CNN shapes, params, and trade-offs

Quick Overview

This question evaluates understanding of convolutional neural network tensor shapes, parameter counts and multiply–accumulate (MAC) calculations, receptive field analysis, and architectural trade-offs including depthwise separable convolutions and normalization placement.

Explain CNN shapes, params, and trade-offs

Company: Apple

Role: Data Scientist

Category: Machine Learning

Difficulty: medium

Interview Round: Onsite

Quick Answer: This question evaluates understanding of convolutional neural network tensor shapes, parameter counts and multiply–accumulate (MAC) calculations, receptive field analysis, and architectural trade-offs including depthwise separable convolutions and normalization placement.

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Oct 13, 2025, 9:49 PM
mediumData ScientistOnsiteMachine Learning
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