Update VariationalAutoencoderRunner.py

Removing spaces around keywords according to PEP 8

Update VariationalAutoencoderRunner.py
Removing spaces around keywords according to PEP 8
9a9a6643 · Alan Yee · GitHub · 1c4df1b2 · 9a9a6643
Commit 9a9a6643 authored Aug 21, 2017 by Alan Yee Committed by GitHub Aug 21, 2017
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Showing with 4 additions and 4 deletions

autoencoder/VariationalAutoencoderRunner.py autoencoder/VariationalAutoencoderRunner.py +4 -4

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--- a/autoencoder/VariationalAutoencoderRunner.py
+++ b/autoencoder/VariationalAutoencoderRunner.py
@@ -9,7 +9,7 @@ from tensorflow.examples.tutorials.mnist import input_data
 from autoencoder_models.VariationalAutoencoder import VariationalAutoencoder
-mnist = input_data.read_data_sets('MNIST_data', one_hot = True)
+mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
 def min_max_scale(X_train, X_test):
@@ -32,9 +32,9 @@ batch_size = 128
 display_step = 1
 autoencoder = VariationalAutoencoder(
-    n_input = 784,
+    n_input=784,
-    n_hidden = 200,
+    n_hidden=200,
-    optimizer = tf.train.AdamOptimizer(learning_rate = 0.001))
+    optimizer=tf.train.AdamOptimizer(learning_rate = 0.001))
 for epoch in range(training_epochs):
    avg_cost = 0.