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Zhenyu66 · May 23, 2017 · c59d60e · c59d60e
1 parent 897c69e
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Showing 8 changed files with 1 addition and 8 deletions.
diff --git a/tutorial-contents/301_simple_regression.py b/tutorial-contents/301_simple_regression.py
@@ -38,7 +38,7 @@
 sess.run(tf.global_variables_initializer())         # initialize var in graph
 
 plt.ion()   # something about plotting
-plt.show()
+
 for step in range(100):
     # train and net output
     _, l, pred = sess.run([train_op, loss, output], {tf_x: x, tf_y: y})

diff --git a/tutorial-contents/302_simple_classification.py b/tutorial-contents/302_simple_classification.py
@@ -45,7 +45,6 @@
 sess.run(init_op)     # initialize var in graph
 
 plt.ion()   # something about plotting
-plt.show()
 for step in range(100):
     # train and net output
     _, acc, pred = sess.run([train_op, accuracy, output], {tf_x: x, tf_y: y})

diff --git a/tutorial-contents/403_RNN_regression.py b/tutorial-contents/403_RNN_regression.py
@@ -52,7 +52,6 @@
 
 plt.figure(1, figsize=(12, 5))
 plt.ion()           # continuously plot
-plt.show()
 
 for step in range(60):
     start, end = step * np.pi, (step+1)*np.pi   # time range

diff --git a/tutorial-contents/404_AutoEncoder.py b/tutorial-contents/404_AutoEncoder.py
@@ -57,7 +57,6 @@
 # initialize figure
 f, a = plt.subplots(2, N_TEST_IMG, figsize=(5, 2))
 plt.ion()   # continuously plot
-plt.show()
 
 # original data (first row) for viewing
 view_data = mnist.test.images[:N_TEST_IMG]

diff --git a/tutorial-contents/406_GAN.py b/tutorial-contents/406_GAN.py
@@ -60,7 +60,6 @@ def artist_works():     # painting from the famous artist (real target)
 sess.run(tf.global_variables_initializer())
 
 plt.ion()   # something about continuous plotting
-plt.show()
 for step in range(5000):
     artist_paintings = artist_works()           # real painting from artist
     G_ideas = np.random.randn(BATCH_SIZE, N_IDEAS)

diff --git a/tutorial-contents/406_conditional_GAN.py b/tutorial-contents/406_conditional_GAN.py
@@ -65,7 +65,6 @@ def artist_works():     # painting from the famous artist (real target)
 sess.run(tf.global_variables_initializer())
 
 plt.ion()   # something about continuous plotting
-plt.show()
 for step in range(7000):
     artist_paintings, labels = artist_works()               # real painting from artist
     G_ideas = np.random.randn(BATCH_SIZE, N_IDEAS)

diff --git a/tutorial-contents/501_dropout.py b/tutorial-contents/501_dropout.py
@@ -59,7 +59,6 @@
 sess.run(tf.global_variables_initializer())
 
 plt.ion()   # something about plotting
-plt.show()
 
 for t in range(500):
     sess.run([o_train, d_train], {tf_x: x, tf_y: y, tf_is_training: True})  # train, set is_training=True

diff --git a/tutorial-contents/502_batch_normalization.py b/tutorial-contents/502_batch_normalization.py
@@ -38,7 +38,6 @@
 # plot input data
 plt.scatter(x, y, c='#FF9359', s=50, alpha=0.5, label='train')
 plt.legend(loc='upper left')
-plt.show()
 
 # tensorflow placeholder
 tf_x = tf.placeholder(tf.float32, [None, 1])