Table 4 Layer composition and configuration of the identity block within the proposed CNN model.

From: Spike train analysis in rehabilitation movement classification using deep learning approach

Identity block

1

original_input = input

2

block = intended block of layers

3

block.add(convolutional 1 \(\times\) 1)

4

block.add (batch normalization)

5

block.add(ReLu)

6

block.add(convolutional 3 \(\times\) 3)

7

block.add (batch normalization)

8

block.add(ReLu)

9

block.add(convolutional 1 \(\times\) 1)

10

block.add (batch normalization)

11

block.connect_outputs(block, original_input)

12

block.add(ReLu)

13

return block