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Table 3 Best hyperparameter values for the deep learning model used for spatial resolution and geometric distortion

From: Deep Learning Approaches for Automatic Quality Assurance of Magnetic Resonance Images Using ACR Phantom

Hyperparameter

Best Value

Number of filters (1st convolution layer)

48

Number of filters (2nd convolution layer)

64

Number of filters (3rd convolution layer)

64

Number of units in the densely connected layer

96

Learning rate

0.00001

Batch size

16

Epochs

20