twodlearn.normalizer module

class twodlearn.normalizer.NormalizeLayer(loc, scale, name=None)[source]

Bases: twodlearn.core.layers.Layer

call(inputs)[source]

This is where the layer’s logic lives.

Parameters
  • inputs – Input tensor, or list/tuple of input tensors.

  • **kwargs – Additional keyword arguments.

Returns

A tensor or list/tuple of tensors.

input_shape[source]
loc[source]
scale[source]
class twodlearn.normalizer.Normalizer(loc, scale, name='Normalizer')[source]

Bases: twodlearn.core.common.TdlModel

class NormalizerOutput(**kargs)[source]

Bases: twodlearn.core.common.OutputModel

inputs[source]
denormalize(*args, **kargs)[source]
loc[source]
normalize(*args, **kargs)[source]
scale[source]