Keras Model composed of a linear stack of layers

keras_model_sequential(layers = NULL, name = NULL)

Arguments

layers

List of layers to add to the model

name

Name of model

Note

The first layer passed to a Sequential model should have a defined input shape. What that means is that it should have received an input_shape or batch_input_shape argument, or for some type of layers (recurrent, Dense...) an input_dim argument.

See also

Examples

if (FALSE) { library(keras) model <- keras_model_sequential() model %>% layer_dense(units = 32, input_shape = c(784)) %>% layer_activation('relu') %>% layer_dense(units = 10) %>% layer_activation('softmax') model %>% compile( optimizer = 'rmsprop', loss = 'categorical_crossentropy', metrics = c('accuracy') ) }