AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 251

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?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Use a deep convolutional neural network (CNN) classifier with the images as input. Include a softmax output layer that outputs the probability that an image contains a car.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 251