function
conv2d
Python2D convolutional layer
conv2d( filters: int, kernel_size: int | tuple[int, int] = 3, strides: int | tuple[int, int] = 1, padding: str = 'same', use_bias: bool = False, groups: int = 1, dilation: int = 1, name: str | None = None,) -> keras.Layer2D convolutional layer
Parameters
| Name | Type | Default | Description |
|---|---|---|---|
filters | int | Required | Number of filters |
kernel_size | int | tuple[int, int] | 3 | Kernel size. Defaults to 3. |
strides | int | tuple[int, int] | 1 | Stride length. Defaults to 1. |
padding | str | 'same' | Padding. Defaults to "same". |
use_bias | bool | False | Add bias. Defaults to False. |
groups | int | 1 | Number of groups. Defaults to 1. |
dilation | int | 1 | Dilation rate. Defaults to 1. |
name | str | None | None | Layer name. Defaults to None. |
Returns
| Type | Description |
|---|---|
keras.Layer | keras.Layer: Functional 2D conv layer |