Machine Learning, Data Science, Deep Learning, TensorFlow, Towards Data Science.
the model uses mean squared error. # Compile the model, and select one of the loss functions losses <- c(keras::loss_mean_squared_error, keras::loss_mean_squared_logarithmic_error, MLAE, MSLAE) model %>% compile( optimizer = "rmsprop", loss = losses[1], metrics = c("mae") ) The last step is to fit