ggml_model_sequential: Create a Sequential Neural Network Model
In ggmlR: 'GGML' Tensor Operations for Machine Learning

ggml_model_sequential

R Documentation

Create a Sequential Neural Network Model

Description

Creates an empty sequential model that layers can be added to using pipe (|>) operators.

Usage

ggml_model_sequential()

Value

A ggml_sequential_model object

Examples

## Not run: 
model <- ggml_model_sequential() |>
  ggml_layer_conv_2d(32, c(3,3), activation = "relu",
                     input_shape = c(28, 28, 1)) |>
  ggml_layer_max_pooling_2d(c(2,2)) |>
  ggml_layer_flatten() |>
  ggml_layer_dense(128, activation = "relu") |>
  ggml_layer_dense(10, activation = "softmax")

## End(Not run)

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