Rotation (0–90)

Data Augmentation

Range for a random rotation

20

Zoom (0–1)

Data Augmentation

Range for a random zoom

0.5

Shear (0–1)

Data Augmentation

Range for a random shear

0.3

Vertical/Horizontal Flip (Yes/No)

Data Augmentation

Random chance of flip in respective direction

Yes/Yes

Momentum (0–1)

Optimizer Parameter

Accelerates or dampens oscillations in given direction.

0.3

Regularization (0–1)

Optimizer Parameter

Penalty applied to large image weights

0

Decay (0–1)

Optimizer Parameter

Learning Rate decay over each update.

1e5

Dropout (0–1)

Fullyconnected Layer

Percent of weights dropped out between dense layers in the FC layer.

0.95

Learning Rate (0–1)

Training Parameter

Importance attributed to weight updates.

1e3

Epochs (Integer)

Training Parameter

Number of epochs performed

1000

Batch Size (2^{n} any n)

Training Parameter

Number of samples per gradient update

16

Image Size (Minimum 224)

Training Parameter

Input image size in pixels

224

nLayersRetrain (Fully Connected only – All Layers)

Training Parameter

Number of layers allowed to have their weights altered.

All Layers (173)
