cost.rst

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.

Note

Please refer to Getting Started for getting specific weights for weight regularization.

tensorlayer.cost

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

cross_entropy

Sigmoid cross entropy

sigmoid_cross_entropy

Binary cross entropy

binary_cross_entropy

Mean squared error (L2)

mean_squared_error

Normalized mean square error

normalized_mean_square_error

Absolute difference error (L1)

absolute_difference_error

Dice coefficient

dice_coe

Hard Dice coefficient

dice_hard_coe

IOU coefficient

iou_coe

Cross entropy for sequence

cross_entropy_seq

Cross entropy with mask for sequence

cross_entropy_seq_with_mask

Cosine similarity

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

li_regularizer

lo_regularizer

maxnorm_o_regularizer

maxnorm_i_regularizer

Huber Loss

huber_loss