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* spelling: accumulates Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: across Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: additional Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: against Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: among Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: array Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: at least Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: available Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: axes Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: basically Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: bfloat Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com> * spelling: bounds 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<2119212+jsoref@users.noreply.github.com> --------- Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com>
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Josh Soref
@@ -198,7 +198,7 @@ class BatchNorm(Module):
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batch, ``C`` is the number of features or channels, and ``L`` is the
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sequence length. The output has the same shape as the input. For
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four-dimensional arrays, the shape is ``NHWC``, where ``H`` and ``W`` are
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the height and width respecitvely.
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the height and width respectively.
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For more information on Batch Normalization, see the original paper `Batch
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Normalization: Accelerating Deep Network Training by Reducing Internal
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@@ -253,7 +253,7 @@ class AdaDelta(Optimizer):
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rho (float, optional): The coefficient :math:`\rho` used for computing a
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running average of squared gradients. Default: ``0.9``
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eps (float, optional): The term :math:`\epsilon` added to the denominator to improve
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numerical stability. Ddefault: `1e-8`
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numerical stability. Default: `1e-8`
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"""
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def __init__(self, learning_rate: float, rho: float = 0.9, eps: float = 1e-6):
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