Module conv 

Convolutional neural network layers implementation

This module provides implementations of convolution layers for neural networks, including Conv2D, Conv3D, and their transpose versions, as well as comprehensive pooling layers for 1D, 2D, and 3D data.

Module Organization

• common - Common types, enums, and utility functions
• conv2d - 2D convolution implementation with im2col operations
• pooling - All pooling layer implementations (standard and adaptive)

Re-exports

pub use common::PaddingMode;

pub use conv2d::Conv2D;

pub use pooling::MaxPool2D;

Modules

common

Common types and utilities for convolutional and pooling layers

conv2d

2D Convolutional layer implementation (minimal stub)

pooling

Pooling layer implementations (minimal stub)