The main way to create a variable is by using the Variable() function, which takes a tensor as an input and outputs a variable. This is only the declaration, and we still need to initialize the variable. Initializing is what puts the variable with the corresponding methods on the computational graph. Here is an example of creating and initializing a variable:
my_var = tf.Variable(tf.zeros([2,3])) sess = tf.Session() initialize_op = tf.global_variables_initializer() sess.run(initialize_op)
To see what the computational graph looks like after creating and initializing a variable, see the following part of this recipe. Placeholders are just holding the position for data to be fed into the graph. Placeholders get data from a ...
