update

Author: MorvanZhou

tensorflowTUT/tf17_dropout/full_code.py

@@ -9,7 +9,7 @@
 from __future__ import print_function
 import tensorflow as tf
 from sklearn.datasets import load_digits
-from sklearn.cross_validation import train_test_split
+from sklearn.model_selection import train_test_split
 from sklearn.preprocessing import LabelBinarizer
 
 # load data
@@ -63,7 +63,6 @@ def add_layer(inputs, in_size, out_size, layer_name, activation_function=None, )
 else:
     init = tf.global_variables_initializer()
 sess.run(init)
-
 for i in range(500):
     # here to determine the keeping probability
     sess.run(train_step, feed_dict={xs: X_train, ys: y_train, keep_prob: 0.5})