MLS-C01 · Question #49
MLS-C01 Question #49: Real Exam Question with Answer & Explanation
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Question
A Machine Learning Specialist is building a convolutional neural network (CNN) that will classify 10 types of animals. The Specialist has built a series of layers in a neural network that will take an input image of an animal, pass it through a series of convolutional and pooling layers, and then finally pass it through a dense and fully connected layer with 10 nodes. The Specialist would like to get an output from the neural network that is a probability distribution of how likely it is that the input image belongs to each of the 10 classes. Which function will produce the desired output?
Options
- ADropout
- BSmooth L1 loss
- CSoftmax
- DRectified linear units (ReLU)
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