List all layer names — KERAS_WRAPPER$list_layer

This function list all layer names of a keras model.

Usage

KERAS_WRAPPER$list_layer_name(keras_model = self$keras_model)

Arguments

keras_model: Keras model. A trained computer vision model.

Value

A vector of strings.

Examples

keras_model <- try(get_keras_model("vss_phn_32"))
if (!inherits(keras_model, "try-error")) {
  keras_wrapper(keras_model)$list_layer_name()
}
#>  [1] "input_1"                "grey_scale"             "block1_conv1"          
#>  [4] "batch_normalization"    "activation"             "block1_conv2"          
#>  [7] "batch_normalization_1"  "activation_1"           "block1_pool"           
#> [10] "dropout"                "block2_conv1"           "batch_normalization_2" 
#> [13] "activation_2"           "block2_conv2"           "batch_normalization_3" 
#> [16] "activation_3"           "block2_pool"            "dropout_1"             
#> [19] "block3_conv1"           "batch_normalization_4"  "activation_4"          
#> [22] "block3_conv2"           "batch_normalization_5"  "activation_5"          
#> [25] "block3_conv3"           "batch_normalization_6"  "activation_6"          
#> [28] "block3_pool"            "dropout_2"              "block4_conv1"          
#> [31] "batch_normalization_7"  "activation_7"           "block4_conv2"          
#> [34] "batch_normalization_8"  "activation_8"           "block4_conv3"          
#> [37] "batch_normalization_9"  "activation_9"           "block4_pool"           
#> [40] "dropout_3"              "block5_conv1"           "batch_normalization_10"
#> [43] "activation_10"          "block5_conv2"           "batch_normalization_11"
#> [46] "activation_11"          "block5_conv3"           "batch_normalization_12"
#> [49] "activation_12"          "block5_pool"            "dropout_4"             
#> [52] "global_max_pooling2d"   "additional_input"       "concatenate"           
#> [55] "dense"                  "dropout_5"              "activation_13"         
#> [58] "dense_1"