In [1]:

    

import tensorflow as tf


    

    




/home/minesh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters

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W = tf.Variable([0.3])
b = tf.Variable([-0.3])
x = tf.placeholder(tf.float32)
linear_model = W * x + b


    

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y = tf.placeholder(tf.float32)


    

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squared_deltas = tf.square(linear_model - y)
loss = tf.reduce_sum(squared_deltas)


    

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init = tf.global_variables_initializer()


    

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optimizer = tf.train.GradientDescentOptimizer(0.01)
train = optimizer.minimize(loss)


    

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# create a summary for our cost
cost_sum = tf.summary.scalar("cost", loss)
#Weight_sum = tf.summary.scalar("Weight", W)
#bias_sum = tf.summary.scalar("bias", b)
with tf.name_scope('W'):
    mean = tf.reduce_mean(W)
    tf.summary.scalar('mean', mean)
    #stddev = tf.sqrt(tf.reduce_mean(tf.square(W - mean)))
    #tf.summary.scalar('stddev', stddev)
with tf.name_scope('b'):
    mean = tf.reduce_mean(b)
    tf.summary.scalar('mean', mean)
    #stddev = tf.sqrt(tf.reduce_mean(tf.square(W - mean)))
    #tf.summary.scalar('stddev', stddev)

merged = tf.summary.merge_all()


    

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sess = tf.Session()


    

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train_writer = tf.summary.FileWriter('./train',sess.graph)


    

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#tf.InteractiveSession()
#tf.global_variables_initializer().run()
sess.run(init)


    

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sess.run([train],{x:[1,2,3,4],y:[0,-1,-2,-3]})


    

    
Out[11]:





[None]

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for i in range(500):
    summary, _ = sess.run([merged,train],{x:[1,2,3,4],y:[0,-1,-2,-3]})
    train_writer.add_summary(summary,i)
    if i % 100 ==0 :
        print(sess.run([W,b]))
        print("loss:",sess.run(loss,{x:[1,2,3,4],y:[0,-1,-2,-3]}))


    

    




[array([-0.39679998], dtype=float32), array([-0.49552003], dtype=float32)]
loss: 1.8198743
[array([-0.8445884], dtype=float32), array([0.543071], dtype=float32)]
loss: 0.13947809
[array([-0.95341456], dtype=float32), array([0.8630331], dtype=float32)]
loss: 0.012532554
[array([-0.9860358], dtype=float32), array([0.9589436], dtype=float32)]
loss: 0.0011260821
[array([-0.99581414], dtype=float32), array([0.98769313], dtype=float32)]
loss: 0.000101181126

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In [13]:

    

train_writer.close()


    

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#sess.close()


    

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!tensorboard --logdir=./train


    

    




/home/minesh/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
TensorBoard 1.5.1 at http://Immortal:6006 (Press CTRL+C to quit)
W0403 14:45:58.949438 Thread-1 application.py:273] path /[[_dataImageSrc]] not found, sending 404
^C

In [16]:

    

!rm -rf ./train


    

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