diff options
Diffstat (limited to 'tensorflow/docs_src/get_started/get_started.md')
| -rw-r--r-- | tensorflow/docs_src/get_started/get_started.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/docs_src/get_started/get_started.md b/tensorflow/docs_src/get_started/get_started.md index 8409962744..be14ab4026 100644 --- a/tensorflow/docs_src/get_started/get_started.md +++ b/tensorflow/docs_src/get_started/get_started.md @@ -272,7 +272,7 @@ train = optimizer.minimize(loss) ``` ```python -sess.run(init) # reset values to incorrect defaults. +sess.run(init) # reset variables to incorrect defaults. for i in range(1000): sess.run(train, {x: [1, 2, 3, 4], y: [0, -1, -2, -3]}) @@ -317,7 +317,7 @@ y_train = [0, -1, -2, -3] # training loop init = tf.global_variables_initializer() sess = tf.Session() -sess.run(init) # reset values to wrong +sess.run(init) # initialize variables with incorrect defaults. for i in range(1000): sess.run(train, {x: x_train, y: y_train}) @@ -383,7 +383,7 @@ train_input_fn = tf.estimator.inputs.numpy_input_fn( eval_input_fn = tf.estimator.inputs.numpy_input_fn( {"x": x_eval}, y_eval, batch_size=4, num_epochs=1000, shuffle=False) -# We can invoke 1000 training steps by invoking the method and passing the +# We can invoke 1000 training steps by invoking the method and passing the # training data set. estimator.train(input_fn=input_fn, steps=1000) |