This section provides the steps to set up the visible and hidden layers of an RBM using TensorFlow:

1. Start a new interactive TensorFlow session:

# Reset the graph 
tf$reset_default_graph() 
# Starting session as interactive session 
sess <- tf$InteractiveSession() 

2. Define the model parameters. The num_input parameter defines the number of nodes in the visible layer and num_hidden defines the number of nodes in the hidden layer:

num_input<-784L 
num_hidden<-900L

3. Create a placeholder variable for the weight matrix:

W <- tf$placeholder(tf$float32, shape = shape(num_input, num_hidden)) 

4. Create placeholder variables of the visible and hidden biases:

vb <- tf$placeholder(tf$float32, shape = shape(num_input)) 
hb <- tf$placeholder(tf$float32, shape = shape(num_hidden))