Skip to main content

Table 1 Parameters of the network model for each part of the semi-supervised learning underwater acoustic source localization framework

From: Semi-supervised underwater acoustic source localization based on residual convolutional autoencoder

 

Block

Output channel

Kernel size

Stride

 

Conv1

64

\({3} \times {3}\)

1

Encoder

Conv2

128

\({3} \times {3}\)

2

 

Conv3

256

\({3} \times {3}\)

2

 

Transposed-Conv1

256

\({3} \times {3}\)

2

Decoder

Transposed-Conv2

128

\({2} \times {2}\)

2

 

Transposed-Conv3

64

\({4} \times {4}\)

1

 

Dense_1

4096

-

1

MLP

Dense_2

2048

-

1

 

Dense_3

1024

-

1

 

Dense_4

100

-

1