ggml_layer_conv_2d: Create a Conv2D Layer Object

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Create a Conv2D Layer Object

Description

Create a Conv2D Layer Object

Add 2D Convolution Layer

Usage

ggml_layer_conv_2d(
  model,
  filters,
  kernel_size,
  activation = NULL,
  input_shape = NULL,
  strides = c(1L, 1L),
  padding = "valid",
  name = NULL,
  trainable = TRUE
)

ggml_layer_conv_2d(
  model,
  filters,
  kernel_size,
  activation = NULL,
  input_shape = NULL,
  strides = c(1L, 1L),
  padding = "valid",
  name = NULL,
  trainable = TRUE
)

Arguments

model	A ggml_sequential_model object
filters	Number of output filters
kernel_size	Integer or vector of 2 integers for kernel height and width
activation	Activation function name: "relu", "sigmoid", "tanh", "softmax", or NULL
input_shape	Input shape c(H, W, C) - required for first layer only
strides	Integer or vector of 2 integers for stride
padding	"valid" (no padding) or "same" (preserve spatial dims)
name	Optional character name for the layer.
trainable	Logical; whether the layer weights are updated during training.

Value

A ggml_layer object.

The model object with the conv_2d layer appended (invisibly).

Examples

model <- ggml_model_sequential() |>
  ggml_layer_conv_2d(32, c(3,3), activation = "relu",
                     input_shape = c(28, 28, 1))

ggmlR documentation built on July 14, 2026, 1:08 a.m.