* Replace all code with tf.keras redirects

* fix too many values to unpack error

In the example script lstm_seq2seq_restore.py and lstm_seq2seq.py, when
parse the data using line.split("\t"), it will return 3 values rather than
2, a simple modification can fix it.

* add blankspace around operator

`channels_first` -> `'channels_first'`
`channels_last`, "channels_last" -> `'channels_last'`


data_format='channels_first' -> `data_format='channels_first'`
data_format='channels_last' -> `data_format='channels_last'`

* Update pooling.py

Added Integer at the `pool_size` of `MaxPooling3D`

* Update pooling.py

Add Integer in `strides` and `pool_size` of 3D layers
Added "If None, it will default to `pool_size`." to be consistent with explanation of 1D, 2D layer

* Update pooling.py

`channels_first` ->`"channels_first"`
`channels_last` ->`"channels_last"`
  "channels_last"->`"channels_last"`

I just fixed Numpy -> NumPy in HDF5Matrix class.

fix duplicate module name for callbacks module

* Change `batch_size` descriptions to proper ones

Since there're no gradients updated during `evaulate` and `predict` processes, changed their `batch_size` docstrings from `"Number of samples per gradient update"` to `"Number of samples per evaluation step"` and `"Number of samples to be predicted at once"`. (The sentence in fit remains unchanged.)

I hope this fix would change related auto-generated documents as well.

* Correct `callbacks` description docstrings

Corrected `callbacks` description docstrings in `evaluate_generator` and `predict_generator`: "List of callbacks to apply during training" -> "- during evaluation", "- during prediction".

* Use .format calls for string interpolation on utils

* Use generators over listcomps whenever possible to save memory

* Fix file leak in CSVLogger

* Update callbacks.py

keras/utils/vis_utils.py

* Update local.py

stride value implies the input argument of 'stride', and dilation_rate implies the input argument of 'dilation rate' of Conv1D function.
It is more explicit to express as code rather than using words stride value, dilation value.
Or, at least both stride and dilation_rate should be written in code, not only dilation rate as before document

* Update local.py

mark as code snippet

* Add utf-8 encoding

* Fix PEP8 error

* Fix PEP8 error

Link to the metrics document(/metrics) was missing in 'Compilation' section. Added one just as other explained arguments.

* Add a test for deadlock after sequence worker timeout

* Call task_done even if the task timeouted

* catch dead worker warning

* fix line length

* Increase deadlock detection timeout to prevent flakiness

* Added comments about the future of Keras.

* Changed msg.

#13239 Improved documentation for EarlyStopping/ReduceLROnPlateau, take validation_freq into account. (#13240)

* Complete the docs by adding data to multi-input/output example

* Add seed for reproducibility

* Finished the functions.

* Started doing the test function.

* Added the batch_normalization operation to the numpy backend.

* forgot an argument

Change line 82 so the reg exp works as it says on token above in the comment
because else it gives - AttributeError: 'NoneType' object has no attribute 'strip'

* #13266 Update lstm_seq2seq.py(from 22% to 87% acc)

I added the codes for applying one-hot encoding on the end of sentences about encoder_input_data, decoder_input_data, and decoder_target_data. I added an accuracy metric for model training. The original code has 22% accuracy, but the proposed code had 87% validation accuracy.

* Update lstm_seq2seq.py

I update code according to PEP8.

* Update lstm_seq2seq.py

Remove whitespace according to PEP 8.