Typo fixes (keras-team#12030)

* Typo fixes
liushuaicare · Jan 12, 2019 · 0418141 · 0418141
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diff --git a/examples/lstm_seq2seq.py b/examples/lstm_seq2seq.py
@@ -17,7 +17,7 @@
 - A decoder LSTM is trained to turn the target sequences into
     the same sequence but offset by one timestep in the future,
     a training process called "teacher forcing" in this context.
-    Is uses as initial state the state vectors from the encoder.
+    It uses as initial state the state vectors from the encoder.
     Effectively, the decoder learns to generate `targets[t+1...]`
     given `targets[...t]`, conditioned on the input sequence.
 - In inference mode, when we want to decode unknown input sequences, we:

diff --git a/keras/callbacks.py b/keras/callbacks.py
@@ -633,7 +633,7 @@ class ModelCheckpoint(Callback):
     """Save the model after every epoch.
 
     `filepath` can contain named formatting options,
-    which will be filled the value of `epoch` and
+    which will be filled with the values of `epoch` and
     keys in `logs` (passed in `on_epoch_end`).
 
     For example: if `filepath` is `weights.{epoch:02d}-{val_loss:.2f}.hdf5`,