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.