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Backward Feature Correction: How Deep Le...

Allen-Zhu, Zeyuan...

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Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning by Allen-Zhu, Zeyuan ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	01-08-2023
Summary
ISBN	-
Item Type	Article
File Type	pdf
File Size	29.34 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/2001.04413

Citation

Review the full bibliography data and make any necessary corrections before using. Always consult your library resources for the exact formatting and punctuation guidelines.

AMA 11th EditionReferences

Allen-Zhu, Zeyuan. Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning. Australian National University. August 01, 2023. Accessed September 17, 2024. https://online.provdatabase.com/cite/927

APA 7th EditionReferences

Allen-Zhu, Zeyuan. (2023). Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning. Australian National University. https://online.provdatabase.com/cite/927

Chicago 17th EditionReferences

Allen-Zhu, Zeyuan. Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning. Australian National University. 2023. https://online.provdatabase.com/cite/927

HarvardReferences

Allen-Zhu, Zeyuan. (2023). Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/927. (Accessed 17 September 2024).

Harvard AustraliaReferences

Allen-Zhu, Zeyuan, 2023, Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning, Australian National University, viewed 17 September 2024, <https://online.provdatabase.com/cite/927>

MLA 9th EditionWorks Cited

Allen-Zhu, Zeyuan. Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/927.

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