1. Run the create_fc_layer function with the preceding input parameters:

layer_fc2 = create_fc_layer(input=layer_fc1_drop,
num_inputs=fc_size,
num_outputs=num_classes,
use_relu=FALSE)

2. Use TensorFlow's dropout function to handle the scaling and masking of neuron outputs:

layer_fc2_drop <- tf$nn$dropout(layer_fc2, keep_prob)