In [23]:

    

import tensorflow as tf

sess = tf.Session()

x = tf.Variable(5.0)
y = tf.Variable(-5.0)

f = x * x + y * y

init = tf.global_variables_initializer()
sess.run(init)

sess.run(f)

updates = tf.train.GradientDescentOptimizer(0.3).minimize(f,var_list=[x])

for i in range(0,50):
    sess.run(updates)
    print(sess.run(f),sess.run(x),sess.run(y))


    

    




29.0 2.0 -5.0
25.64 0.8 -5.0
25.1024 0.32 -5.0
25.0164 0.128 -5.0
25.0026 0.0512 -5.0
25.0004 0.02048 -5.0
25.0001 0.008192 -5.0
25.0 0.0032768 -5.0
25.0 0.00131072 -5.0
25.0 0.000524288 -5.0
25.0 0.000209715 -5.0
25.0 8.3886e-05 -5.0
25.0 3.35544e-05 -5.0
25.0 1.34218e-05 -5.0
25.0 5.3687e-06 -5.0
25.0 2.14748e-06 -5.0
25.0 8.58993e-07 -5.0
25.0 3.43597e-07 -5.0
25.0 1.37439e-07 -5.0
25.0 5.49755e-08 -5.0
25.0 2.19902e-08 -5.0
25.0 8.79608e-09 -5.0
25.0 3.51843e-09 -5.0
25.0 1.40737e-09 -5.0
25.0 5.62949e-10 -5.0
25.0 2.2518e-10 -5.0
25.0 9.00719e-11 -5.0
25.0 3.60287e-11 -5.0
25.0 1.44115e-11 -5.0
25.0 5.7646e-12 -5.0
25.0 2.30584e-12 -5.0
25.0 9.22335e-13 -5.0
25.0 3.68934e-13 -5.0
25.0 1.47574e-13 -5.0
25.0 5.90295e-14 -5.0
25.0 2.36118e-14 -5.0
25.0 9.44471e-15 -5.0
25.0 3.77788e-15 -5.0
25.0 1.51115e-15 -5.0
25.0 6.04461e-16 -5.0
25.0 2.41785e-16 -5.0
25.0 9.67138e-17 -5.0
25.0 3.86855e-17 -5.0
25.0 1.54742e-17 -5.0
25.0 6.18968e-18 -5.0
25.0 2.47587e-18 -5.0
25.0 9.90349e-19 -5.0
25.0 3.9614e-19 -5.0
25.0 1.58456e-19 -5.0
25.0 6.33823e-20 -5.0