Earth, Planets and Space

Table 2 VGG16 model architecture for ionogram image classification task

From: Automatic classification of spread‐F types in ionogram images using support vector machine and convolutional neural network

Parameter	Value
Base model (pretrained)	VGG16
Optimizer	Adam, Adagard, SGD
Learning rate	0.01, 0.001, 0.0001, 0.00001, 0.000001
Number of dense layers	4, 5, 6, 7, 8, 9 layers
Input size	224 by 224 pixels
Batch size	32
Epoch (maximum)	100

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