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ricagj commented
"4.5 Building Relation Network Using Tensorflow.ipynb" in Chapter04
def relation_function(x):
w1 = tf.Variable(tf.truncated_normal([2,3]))
b1 = tf.Variable(tf.truncated_normal([3]))
w2 = tf.Variable(tf.truncated_normal([3,5]))
b2 = tf.Variable(tf.truncated_normal([5]))
w3 = tf.Variable(tf.truncated_normal([5,1]))
b3 = tf.Variable(tf.truncated_normal([1]))
#layer1
z1 = (tf.nn.xw_plus_b(x,w1,b1))
a1 = tf.nn.relu(z1)
#layer2
z2 = tf.nn.xw_plus_b(a1,w2,b2)
a2 = tf.nn.relu(z2)
#layer3
z3 = tf.nn.xw_plus_b(z2,w3,b3) # z3 = tf.nn.xw_plus_b(a2,w3,b3)
#output
y = tf.nn.sigmoid(z3)
return y
Unless this line of code "a2 = tf.nn.relu(z2)" is useless.