Which of the Following Statements Is False

question 66

Multiple Choice

Which of the following statements is false?

• A) Convnets often have many convolution and pooling layers.
• B) The Keras team's convnets tend to double the number of filters in subsequent convolutional layers to enable the model to learn more relationships between the features.
• C) The following snippets add a convolution layer with 128 filters, followed by a pooling layer to reduce the dimensionality by 50%:
• Cnn)add(Conv2D(filters=128, kernel_size=(3, 3),
• Activation='relu'))
• Cnn)add(MaxPooling2D(pool_size=(2, 2)))
• D) For odd dimensions like 11-by-11, Keras pooling layers round the dimensions down by default.

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Definitions:

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