Convolutional Layers

Convolutional layers for 1D, 2D, and 3D spatial feature extraction. Includes standard convolutions, weight-standardized variants for improved normalization, and transposed convolutions for upsampling operations. Essential for processing sequential data, images, and volumetric inputs.

Conv1d	One-dimensional convolution layer.
Conv2d	Two-dimensional convolution layer.
Conv3d	Three-dimensional convolution layer.
ScaledWSConv1d	One-dimensional convolution with weight standardization.
ScaledWSConv2d	Two-dimensional convolution with weight standardization.
ScaledWSConv3d	Three-dimensional convolution with weight standardization.
ConvTranspose1d	One-dimensional transposed convolution layer (also known as deconvolution).
ConvTranspose2d	Two-dimensional transposed convolution layer (also known as deconvolution).
ConvTranspose3d	Three-dimensional transposed convolution layer (also known as deconvolution).