Fix typos (#7213)

examples/image_ocr.py

@@ -443,7 +443,7 @@ def train(run_name, start_epoch, stop_epoch, img_w):
     # cuts down input size going into RNN:
     inner = Dense(time_dense_size, activation=act, name='dense1')(inner)
 
-    # Two layers of bidirecitonal GRUs
+    # Two layers of bidirectional GRUs
     # GRU seems to work as well, if not better than LSTM:
     gru_1 = GRU(rnn_size, return_sequences=True, kernel_initializer='he_normal', name='gru1')(inner)
     gru_1b = GRU(rnn_size, return_sequences=True, go_backwards=True, kernel_initializer='he_normal', name='gru1_b')(inner)

tests/keras/backend/backend_test.py

@@ -583,7 +583,7 @@ class TestBackend(object):
             assert_allclose(zero_list[i], z_list[i], atol=1e-05)
             assert_allclose(zero_list[i + 1], zero_list[i + 1], atol=1e-05)
 
-    # cntk currently not support funciton in this way, so can't test as this
+    # cntk currently not support function in this way, so can't test as this
     def test_function(self):
         test_backend = [KTH, KTF]
         val = np.random.random((4, 2))