Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance

Research article (IEEE Access, 2023) · cited 14× · AI/ML
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Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance

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Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance. Retrieved May 24, 2026, from https://4ort.xyz/entity/enabling-large-batch-size-training-for-dnn-models-beyond-the-memory-limit-while-maintaining-performance
MLA “Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enabling-large-batch-size-training-for-dnn-models-beyond-the-memory-limit-while-maintaining-performance.
BibTeX @misc{4ortxyz_enabling-large-batch-size-training-for-dnn-models-beyond-the-memory-limit-while-maintaining-performance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance}}, year = {2026}, url = {https://4ort.xyz/entity/enabling-large-batch-size-training-for-dnn-models-beyond-the-memory-limit-while-maintaining-performance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance — https://4ort.xyz/entity/enabling-large-batch-size-training-for-dnn-models-beyond-the-memory-limit-while-maintaining-performance (retrieved 2026-05-24)

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