Keras-lmu

==================

*Compatible with TensorFlow 2.4 - 2.13*

=====================

*Compatible with TensorFlow 2.4 - 2.13*

**Changed**

- Minimum supported Python version is now 3.8 (3.7 reached end of life in June 2023).
(`54`_)

.. _54: https://github.com/nengo/keras-lmu/pull/54

===================

*Compatible with TensorFlow 2.4 - 2.11*

**Changed**

- ``LMUFeedforward`` can now be used with unknown sequence lengths, and ``LMU`` will
use ``LMUFeedforward`` for unknown sequence lengths (as long as the other conditions
are met, as before). (`52`_)
- Allow ``input_to_hidden=True`` with ``hidden_cell=None``. This will act as a skip
connection. (`52`_)
- Changed order of LMU states so that the LMU memory state always comes first, and
any states from the hidden cell come afterwards. (`52`_)

**Fixed**

- Fixed errors when setting non-default dtype on LMU layers. (`52`_)

.. _52: https://github.com/nengo/keras-lmu/pull/52

========================

*Compatible with TensorFlow 2.4 - 2.11*

**Added**

- Layers are registered with the Keras serialization system (no longer need to
be passed as ``custom_objects``). (`49`_)

.. _49: https://github.com/nengo/keras-lmu/pull/49

====================

*Compatible with TensorFlow 2.1 - 2.9*

**Added**

- Added support for TensorFlow 2.9. (`48`_)

.. _48: https://github.com/nengo/keras-lmu/pull/48

=========================

*Compatible with TensorFlow 2.1 - 2.8*

**Added**

- Added support for TensorFlow 2.8. (`46`_)
- Allow for optional bias on the memory component with the ``use_bias`` flag. (`44`_)
- Added regularizer support for kernel, recurrent kernel, and bias. (`44`_)

.. _44: https://github.com/nengo/keras-lmu/pull/44
.. _46: https://github.com/nengo/keras-lmu/pull/46