Module: tf.contrib.losses.metric_learning
Stay organized with collections
Save and categorize content based on your preferences.
Ops for building neural network losses.
See Contrib Losses.
Functions
cluster_loss(...)
: Computes the clustering loss.
contrastive_loss(...)
: Computes the contrastive loss.
lifted_struct_loss(...)
: Computes the lifted structured loss.
npairs_loss(...)
: Computes the npairs loss.
npairs_loss_multilabel(...)
: Computes the npairs loss with multilabel data.
triplet_semihard_loss(...)
: Computes the triplet loss with semi-hard negative mining.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]