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TableĀ 3 Network architecture of proposed image classification

From: Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder

Layer (type)

Output shape

Param#

Input_4(InputLayer)

(None, 512)

0

Batch_normalization_4(Batch)

(None, 512)

2048

Dropout_4(Dropout)

(None, 512)

0

Dense_4(Dense)

(None, 512)

262,656

Batch_normalization_5(Batch)

(None, 512)

2048

Dropout_5(Dropout)

(None, 512)

0

Dense_5(Dense)

(None, 512)

262,656

Batch_normalization_6(Batch)

(None, 512)

2048

Dropout_6(Dropout)

(None, 512)

0

Dense_6(Dense)

(None, 1)

513