forked from TensorLayer/tensorlayer3
96 lines
2.3 KiB
ReStructuredText
96 lines
2.3 KiB
ReStructuredText
API - Cost
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==================
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To make TensorLayer simple, we minimize the number of cost functions as much as
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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>`_.
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.. note::
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Please refer to `Getting Started <https://github.com/tensorlayer/tensorlayer/tree/master/docs/user>`_ for getting specific weights for weight regularization.
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.. automodule:: tensorlayer.cost
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.. autosummary::
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softmax_cross_entropy_with_logits
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sigmoid_cross_entropy
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binary_cross_entropy
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mean_squared_error
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normalized_mean_square_error
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absolute_difference_error
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dice_coe
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dice_hard_coe
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iou_coe
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cross_entropy_seq
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cross_entropy_seq_with_mask
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cosine_similarity
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li_regularizer
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lo_regularizer
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maxnorm_regularizer
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maxnorm_o_regularizer
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maxnorm_i_regularizer
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Softmax cross entropy
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----------------------
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.. autofunction:: softmax_cross_entropy_with_logits
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Sigmoid cross entropy
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----------------------
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.. autofunction:: sigmoid_cross_entropy
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Binary cross entropy
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-------------------------
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.. autofunction:: binary_cross_entropy
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Mean squared error (L2)
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-------------------------
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.. autofunction:: mean_squared_error
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Normalized mean square error
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--------------------------------
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.. autofunction:: normalized_mean_square_error
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Absolute difference error (L1)
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--------------------------------
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.. autofunction:: absolute_difference_error
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Dice coefficient
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-------------------------
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.. autofunction:: dice_coe
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Hard Dice coefficient
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-------------------------
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.. autofunction:: dice_hard_coe
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IOU coefficient
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-------------------------
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.. autofunction:: iou_coe
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Cross entropy for sequence
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-----------------------------
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.. autofunction:: cross_entropy_seq
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Cross entropy with mask for sequence
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----------------------------------------
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.. autofunction:: cross_entropy_seq_with_mask
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Cosine similarity
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-------------------
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.. autofunction:: cosine_similarity
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Regularization functions
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--------------------------
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For ``tf.nn.l2_loss``, ``tf.contrib.layers.l1_regularizer``, ``tf.contrib.layers.l2_regularizer`` and
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``tf.contrib.layers.sum_regularizer``, see tensorflow API.
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Maxnorm
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^^^^^^^^^^
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.. autofunction:: maxnorm_regularizer
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Special
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^^^^^^^^^^
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.. autofunction:: li_regularizer
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.. autofunction:: lo_regularizer
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.. autofunction:: maxnorm_o_regularizer
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.. autofunction:: maxnorm_i_regularizer
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