Refactor for tensorflow-1.0rc1 (#77)

tf.mul() -> tf.multiply()

Author: normanheckscher

01_linear_regression.ipynb

@@ -36,7 +36,7 @@
     "Y = tf.placeholder(\"float\")\n",
     "\n",
     "def model(X, w):\n",
-    "    return tf.mul(X, w) # lr is just X*w so this model line is pretty simple\n",
+    "    return tf.multiply(X, w) # lr is just X*w so this model line is pretty simple\n",
     "\n",
     "w = tf.Variable(0.0, name=\"weights\") # create a shared variable (like theano.shared) for the weight matrix\n",
     "y_model = model(X, w)\n",

01_linear_regression.py

@@ -11,7 +11,7 @@
 
 
 def model(X, w):
-    return tf.mul(X, w) # lr is just X*w so this model line is pretty simple
+    return tf.multiply(X, w) # lr is just X*w so this model line is pretty simple
 
 
 w = tf.Variable(0.0, name="weights") # create a shared variable (like theano.shared) for the weight matrix