WebWe are going to train a model for 10 epochs and set the batch size to 32. Adding test dataset for validation. The `shuffle` argument will shuffle training data at the start of each epoch. history <- model %>% fit( x_train, y_train, batch_size = 32, epochs = 10, validation_data = list(x_test, y_test), shuffle = TRUE ) Evaluating the model

Building Neural Network (NN) Models in R DataCamp

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