README.md in tensor_stream-0.1.1 vs README.md in tensor_stream-0.1.2

@@ -55,12 +55,12 @@
 
 X = tf.placeholder("float")
 Y = tf.placeholder("float")
 
 # Set model weights
-W = tf.Variable(rand, name: "weight")
-b = tf.Variable(rand, name: "bias")
+W = tf.variable(rand, name: "weight")
+b = tf.variable(rand, name: "bias")
 
 # Construct a linear model
 pred = X * W + b
 
 # Mean squared error
@@ -69,11 +69,11 @@
 optimizer = TensorStream::Train::GradientDescentOptimizer.new(learning_rate).minimize(cost)
 
 # Initialize the variables (i.e. assign their default value)
 init = tf.global_variables_initializer()
 
-tf.Session do |sess|
+tf.session do |sess|
     start_time = Time.now
     sess.run(init)
     (0..training_epochs).each do |epoch|
       train_X.zip(train_Y).each do |x,y|
         sess.run(optimizer, feed_dict: {X => x, Y => y})
@@ -103,9 +103,10 @@
 
 ## Issues
 
 - This is an early preview release and many things still don't work
 - Performance is not great, at least until the opencl and/or sciruby backends are complete
+- However if you really need an op supported please feel free to file a pull request with the corresponding failing test (see spec/operation_spec.rb)
 
 ## Development
 
 After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment.