Added categorical_crossentropy loss function#10152
Merged
tianyizheng02 merged 14 commits intoTheAlgorithms:masterfrom Oct 10, 2023
Merged
Added categorical_crossentropy loss function#10152tianyizheng02 merged 14 commits intoTheAlgorithms:masterfrom
tianyizheng02 merged 14 commits intoTheAlgorithms:masterfrom
Conversation
Create categorical_cross_entropy.py
for more information, see https://pre-commit.ci
algorithms-keeper
bot
added
tests are failing
Contributor
Author
|
@tianyizheng02 Added CategoricalCrossEntropy in loss_functions |
tianyizheng02
requested changes
Oct 9, 2023
Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
tianyizheng02
requested changes
Oct 10, 2023
Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>
Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>
Contributor
|
Sorry, I see the problem: I'll adjust the one-hot encoding check to support multi-row arrays |
tianyizheng02
requested changes
Oct 10, 2023
Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>
Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>
for more information, see https://pre-commit.ci
algorithms-keeper
bot
removed
the
tests are failing
Contributor
Author
|
@tianyizheng02 Done! Let me know if it needs any other changes |
tianyizheng02
approved these changes
Oct 10, 2023
Contributor
tianyizheng02
left a comment
tianyizheng02
left a comment
There was a problem hiding this comment.
Thanks for your contribution and for your fixes!
algorithms-keeper
bot
removed
the
awaiting reviews
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Describe your change:
Added
categorical_cross_entropy.pyinmachine_learning/loss_functionsChecklist: