Fix typos

jantic · Sep 25, 2016 · fb6a294 · fb6a294
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diff --git a/docs/templates/applications.md b/docs/templates/applications.md
@@ -306,7 +306,7 @@ These weights are trained by ourselves and are released under the MIT license.
 keras.applications.music_tagger_crnn.MusicTaggerCRNN(weights='msd', input_tensor=None, include_top=True)
 ```
 
-A convolutional-recurrent model taking as input a vectorized representation of the Melgram spectrogram of a music track and capable of outputting the musical genre of the track. You can use `keras.applications.music_tagger_crnn.preprocess_input` the convert a sound file to a vectorized spectrogram. This requires to have installed the [Librosa](http://librosa.github.io/librosa/) library. See [the usage example](#music-tagging-and-feature-extraction-with-musictaggercrnn).
+A convolutional-recurrent model taking as input a vectorized representation of the Melgram spectrogram of a music track and capable of outputting the musical genre of the track. You can use `keras.applications.music_tagger_crnn.preprocess_input` to convert a sound file to a vectorized spectrogram. This requires to have installed the [Librosa](http://librosa.github.io/librosa/) library. See [the usage example](#music-tagging-and-feature-extraction-with-musictaggercrnn).
 
 ### Arguments
 
@@ -318,7 +318,6 @@ A convolutional-recurrent model taking as input a vectorized representation of t
 
 A Keras model instance.
 
-
 ### References
 
 - [Convolutional Recurrent Neural Networks for Music Classification](https://arxiv.org/abs/1609.04243)

diff --git a/keras/applications/music_tagger_crnn.py b/keras/applications/music_tagger_crnn.py
@@ -138,8 +138,8 @@ def MusicTaggerCRNN(weights='msd', input_tensor=None,
     else:
         # Load weights
         if K.image_dim_ordering() == 'tf':
-            raise RuntimeError("Please set image_dim_ordering == 'th'."
-                               "You can set it at ~/.keras/keras.json")
+            raise RuntimeError('Please set `image_dim_ordering` to "th".'
+                               'You can set it at `~/.keras/keras.json`.')
 
         if K._BACKEND == 'theano':
             weights_path = get_file('music_tagger_crnn_weights_theano.h5',