Machine Learning, Data Science, Deep Learning, TensorFlow, Towards Data Science.
includes two layers of fully-connected relu activated neurons, and an output layer with no transformation. # The model as specified in "Deep Learning with R" model <- keras_model_sequential() %>% layer_dense(units = 64, activation = "relu", input_shape = dim(train_data)[[2]]) %>% layer_dense(units