How the parameter vector of zeroes works in tensorflow?

So, I'm following book on Tensorflow by Chris Mattman. It is pretty buggy and outdated, but I'm still trying to get into ML with it (there are interesting concepts further in the book)

Here is the code:

import tensorflow as tftf.disable_v1_behavior()#...#...#...def model(X, w):    terms = []    for i in range(num_coeffs): #num_coeffs = 6        term = tf.multiply(w[i], tf.pow(X, i))        terms.append(term)    return tf.add_n(terms)w = tf.Variable([0.]*num_coeffs, name="parameters")y_model = model(X, w) #X = tf.placeholder(tf.float32)

My question: how do we multiply 0. by some value in the variable and get anything different from 0?Edit: I forgot to mention, it is to be polynomial regression model =)