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diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.nn.l2_loss.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.nn.l2_loss.md new file mode 100644 index 0000000000..fd648ca642 --- /dev/null +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.nn.l2_loss.md @@ -0,0 +1,19 @@ +### `tf.nn.l2_loss(t, name=None)` {#l2_loss} + +L2 Loss. + +Computes half the L2 norm of a tensor without the `sqrt`: + + output = sum(t ** 2) / 2 + +##### Args: + + +* <b>`t`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int64`, `int32`, `uint8`, `uint16`, `int16`, `int8`, `complex64`, `complex128`, `qint8`, `quint8`, `qint32`, `half`. + Typically 2-D, but may have any dimensions. +* <b>`name`</b>: A name for the operation (optional). + +##### Returns: + + A `Tensor`. Has the same type as `t`. 0-D. + |