Practice More Quizzes:
Q:
You developed a deep neural network to train a classification model that predicts to which of the four classes an observation belongs based on 8 numeric features. Which of the following statements is true about the network architecture?
Q:
You are training a deep neural network. You configured the training process to use 35 epochs. What effect does this have on the behavior of the model?
Q:
When creating a deep neural network, if you increase the Learning Rate parameter, what effect will this setting have?
Q:
When creating a convolutional neural network, if you want to reduce the size of the feature maps that are generated by a convolutional layer, what should you do?
Q:
True or False? The feature extraction layers apply convolutional filters and pooling to emphasize edges, corners, and other patterns in the images that can be used to differentiate them, and in theory should work for any set of images with the same dimensions as the input layer of the network.
Q:
This layer is a principal layer type that extracts important features in images. It works by applying a filter to images. What type of layer is this?
Q:
After extracting feature values from images, this layer is used to reduce the number of feature values while retaining the key differentiating features that have been extracted.
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