MLS-C01 · Question #283
MLS-C01 Question #283: Real Exam Question with Answer & Explanation
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Question
A car company is developing a machine learning solution to detect whether a car is present in an image. The image dataset consists of one million images. Each image in the dataset is 200 pixels in height by 200 pixels in width. Each image is labeled as either having a car or not having a car. Which architecture is MOST likely to produce a model that detects whether a car is present in an image with the highest accuracy?
Options
- AUse a deep convolutional neural network (CNN) classifier with the images as input. Include a
- BUse a deep convolutional neural network (CNN) classifier with the images as input. Include a
- CUse a deep multilayer perceptron (MLP) classifier with the images as input. Include a linear
- DUse a deep multilayer perceptron (MLP) classifier with the images as input. Include a softmax
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