Utilities
==========

``minibatch``
-------------
.. autofunction:: numpy_ml.neural_nets.utils.minibatch

``calc_pad_dims_2D``
--------------------
.. autofunction:: numpy_ml.neural_nets.utils.calc_pad_dims_2D

``calc_pad_dims_1D``
--------------------
.. autofunction:: numpy_ml.neural_nets.utils.calc_pad_dims_1D

``pad1D``
--------------------
.. autofunction:: numpy_ml.neural_nets.utils.pad1D

``pad2D``
--------------------
.. autofunction:: numpy_ml.neural_nets.utils.pad2D

``dilate``
--------------------
.. autofunction:: numpy_ml.neural_nets.utils.dilate

``calc_fan``
--------------------
.. autofunction:: numpy_ml.neural_nets.utils.calc_fan

``calc_conv_out_dims``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.calc_conv_out_dims

``im2col``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.im2col

``col2im``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.col2im

``conv2D``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.conv2D

``conv1D``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.conv1D

``deconv2D_naive``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.deconv2D_naive

``conv2D_naive``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.conv2D_naive

``he_uniform``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.he_uniform

``he_normal``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.he_normal

``glorot_uniform``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.glorot_uniform

``glorot_normal``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.glorot_normal

``truncated_normal``
-----------------------
.. autofunction:: numpy_ml.neural_nets.utils.truncated_normal