1D Max Pooling Layer

maxpool1d_layer_type

maxpool1d_layer_type(
  pool_size=2,
  stride=...,
  input_shape=...,
  padding="valid"
)

The maxpool1d_layer_type derived type provides a 1D max pooling layer. This layer performs downsampling by dividing the input into pooling regions and taking the maximum value in each region.

Arguments

• pool_size (integer or integer, dimension(1)): Size of the pooling window. Default: 2.

• stride (integer or integer, dimension(1)): Stride of the pooling operation. Default: pool_size.

• input_shape (integer, dimension(:)): Shape of the input data (width, channels).

• padding (character(*)): Padding method, if any, to be applied to the input data prior to pooling. Refer to 1D padding layer for options. Default: "valid", i.e. no padding.

Shape:

• Input: (width, channels, batch_size).

• Output: (width_out, channels, batch_size).

where:

\[\text{width_out} = \left\lfloor \frac{\text{width} - \text{pool_size}}{\text{stride}} + 1 \right\rfloor\]