L2

tflearn.losses.L2 (tensor, wd=0.001)

Computes half the L2 norm of a tensor without the sqrt:

output = sum(t ** 2) / 2 * wd

Arguments

• tensor: Tensor. The tensor to apply regularization.
• wd: float. The decay.

Returns

The regularization Tensor.

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L1

tflearn.losses.L1 (tensor, wd=0.001)

Computes the L1 norm of a tensor:

output = sum(|t|) * wd

Arguments

• tensor: Tensor. The tensor to apply regularization.
• wd: float. The decay.

Returns

The regularization Tensor.

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