CNNs remain foundational even as transformers rise, and this checks whether you grasp why convolution suits images. What interviewers reward is parameter sharing and local connectivity, what pooling buys, and how the receptive field grows. Here is the answer.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
CNNs remain foundational even as transformers rise, and this checks whether you grasp why convolution suits images. What interviewers reward is parameter sharing and local connectivity, what pooling buys, and how the receptive field grows. Here is the answer.
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