Table 3 Hyperparameter tuned for the modified models.

From: Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging

Sr. no

Hyperparameter

CNN

VGG16

ResNet50

CNNAlexnet

InceptionV3

1.

Activation Layer

ReLu, Softmax

ReLu, Softmax

ReLu, Softmax

ReLu, Softmax

ReLu, Softmax

2.

Dense Layer

128

1024

1024

4096

1024

3.

Dropout

0.5

0.2

0.2

0.5

0.2

4.

Learning Rate

0.0001

0.0001

0.0001

0.0001

0.0001

5.

Batch Size

156

156

156

156

156

6.

Optimizer

Adam

Adam

Adam

Adam

Adam

7.

Pooling

MaxPooling2D

MaxPooling2D

8.

Epochs

25

25

25

25

25

9.

Loss

Sparse Categorical Cross Entropy

Sparse Categorical Cross Entropy

Sparse Categorical Cross Entropy

Sparse Categorical Cross Entropy

Sparse Categorical Cross Entropy

10.

Weights

Imagenet

Imagenet

Imagenet