Which of the Following Statements Is False

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.