Fix typos (keras-team#9138)

senon · Jan 20, 2018 · abe06d5 · abe06d5
1 parent d4f6098
commit abe06d5
Show file tree

Hide file tree

Showing 5 changed files with 6 additions and 6 deletions.
diff --git a/examples/mnist_denoising_autoencoder.py b/examples/mnist_denoising_autoencoder.py
@@ -1,4 +1,4 @@
-'''Trains a denoising autoenconder on MNIST dataset.
+'''Trains a denoising autoencoder on MNIST dataset.
 
 Denoising is one of the classic applications of autoencoders.
 The denoising process removes unwanted noise that corrupted the

diff --git a/keras/applications/nasnet.py b/keras/applications/nasnet.py
@@ -18,7 +18,7 @@
 |   NASNet-A (6 @ 4032)  |   82.7 %  |   96.2 %  |      23.8 B    |    88.9    |
 --------------------------------------------------------------------------------
 
-Weights obtained from the official Tensorflow repository found at
+Weights obtained from the official TensorFlow repository found at
 https://github.com/tensorflow/models/tree/master/research/slim/nets/nasnet
 
 # References
@@ -145,7 +145,7 @@ def NASNet(input_shape=None,
             backend that does not support separable convolutions.
     '''
     if K.backend() != 'tensorflow':
-        raise RuntimeError('Only Tensorflow backend is currently supported, '
+        raise RuntimeError('Only TensorFlow backend is currently supported, '
                            'as other backends do not support '
                            'separable convolution.')
 

diff --git a/keras/backend/tensorflow_backend.py b/keras/backend/tensorflow_backend.py
@@ -272,7 +272,7 @@ def _get_available_gpus():
 def _has_nchw_support():
     """Check whether the current scope supports NCHW ops.
 
-    Tensorflow does not support NCHW on CPU. Therefore we check if we are not explicitly put on
+    TensorFlow does not support NCHW on CPU. Therefore we check if we are not explicitly put on
     CPU, and have GPUs available. In this case there will be soft-placing on the GPU device.
 
     # Returns

diff --git a/keras/engine/training.py b/keras/engine/training.py
@@ -425,7 +425,7 @@ def weighted(y_true, y_pred, weights, mask=None):
         # score_array has ndim >= 2
         score_array = fn(y_true, y_pred)
         if mask is not None:
-            # Cast the mask to floatX to avoid float64 upcasting in theano
+            # Cast the mask to floatX to avoid float64 upcasting in Theano
             mask = K.cast(mask, K.floatx())
             # mask should have the same shape as score_array
             score_array *= mask

diff --git a/keras/models.py b/keras/models.py
@@ -152,7 +152,7 @@ def get_json_type(obj):
                     for i, (w, val) in enumerate(zip(symbolic_weights,
                                                      weight_values)):
                         # Default values of symbolic_weights is /variable
-                        # for theano and cntk
+                        # for Theano and CNTK
                         if K.backend() == 'theano' or K.backend() == 'cntk':
                             if hasattr(w, 'name'):
                                 if w.name.split('/')[-1] == 'variable':