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- API - Cost
- ==================
-
- To make TensorLayer simple, we minimize the number of cost functions as much as
- we can. So we encourage you to use TensorFlow's function, , see `TensorFlow API <https://www.tensorflow.org/versions/r2.0/api_docs/python/tf>`_.
-
- .. note::
- Please refer to `Getting Started <https://github.com/tensorlayer/tensorlayer/tree/master/docs/user>`_ for getting specific weights for weight regularization.
-
- .. automodule:: tensorlayer.cost
-
- .. autosummary::
-
- cross_entropy
- sigmoid_cross_entropy
- binary_cross_entropy
- mean_squared_error
- normalized_mean_square_error
- absolute_difference_error
- dice_coe
- dice_hard_coe
- iou_coe
- cross_entropy_seq
- cross_entropy_seq_with_mask
- cosine_similarity
- li_regularizer
- lo_regularizer
- maxnorm_regularizer
- maxnorm_o_regularizer
- maxnorm_i_regularizer
- huber_loss
-
-
- Softmax cross entropy
- ----------------------
- .. autofunction:: cross_entropy
-
- Sigmoid cross entropy
- ----------------------
- .. autofunction:: sigmoid_cross_entropy
-
- Binary cross entropy
- -------------------------
- .. autofunction:: binary_cross_entropy
-
- Mean squared error (L2)
- -------------------------
- .. autofunction:: mean_squared_error
-
- Normalized mean square error
- --------------------------------
- .. autofunction:: normalized_mean_square_error
-
- Absolute difference error (L1)
- --------------------------------
- .. autofunction:: absolute_difference_error
-
- Dice coefficient
- -------------------------
- .. autofunction:: dice_coe
-
- Hard Dice coefficient
- -------------------------
- .. autofunction:: dice_hard_coe
-
- IOU coefficient
- -------------------------
- .. autofunction:: iou_coe
-
- Cross entropy for sequence
- -----------------------------
- .. autofunction:: cross_entropy_seq
-
- Cross entropy with mask for sequence
- ----------------------------------------
- .. autofunction:: cross_entropy_seq_with_mask
-
- Cosine similarity
- -------------------
- .. autofunction:: cosine_similarity
-
- Regularization functions
- --------------------------
-
- For ``tf.nn.l2_loss``, ``tf.contrib.layers.l1_regularizer``, ``tf.contrib.layers.l2_regularizer`` and
- ``tf.contrib.layers.sum_regularizer``, see tensorflow API.
- Maxnorm
- ^^^^^^^^^^
- .. autofunction:: maxnorm_regularizer
-
- Special
- ^^^^^^^^^^
- .. autofunction:: li_regularizer
- .. autofunction:: lo_regularizer
- .. autofunction:: maxnorm_o_regularizer
- .. autofunction:: maxnorm_i_regularizer
-
- Huber Loss
- ^^^^^^^^^^
- .. autofunction:: huber_loss
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