I tried to reproduce the example in the readme.
I encountered this error.
library(reprex)
library(deepviz)
library(tidyverse)
library(keras)
model <- keras_model_sequential() %>%
layer_dense(10, input_shape = 4) %>%
layer_dense(2, activation = "sigmoid")
model %>% plot_model()
#> Error in data.frame(id = 1:n, type = type, label = label, stringsAsFactors = FALSE): arguments imply differing number of rows: 2, 0
Created on 2018-11-14 by the reprex package (v0.2.1)