FloatSD: A New Weight Representation and Associated Update Method for Efficient Convolutional Neural Network Training
Summary
FloatSD: A New Weight Representation and Associated Update Method for Efficient Convolutional Neural Network Training is a scholarly article[1].
Key Facts
FloatSD: A New Weight Representation and Associated Update Method for Efficient Convolutional Neural Network Training's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). FloatSD: A New Weight Representation and Associated Update Method for Efficient Convolutional Neural Network Training. Retrieved May 24, 2026, from https://4ort.xyz/entity/floatsd-a-new-weight-representation-and-associated-update-method-for-efficient-convolutional-neural-network-training
MLA“FloatSD: A New Weight Representation and Associated Update Method for Efficient Convolutional Neural Network Training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/floatsd-a-new-weight-representation-and-associated-update-method-for-efficient-convolutional-neural-network-training.
BibTeX@misc{4ortxyz_floatsd-a-new-weight-representation-and-associated-update-method-for-efficient-convolutional-neural-network-training_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FloatSD: A New Weight Representation and Associated Update Method for Efficient Convolutional Neural Network Training}}, year = {2026}, url = {https://4ort.xyz/entity/floatsd-a-new-weight-representation-and-associated-update-method-for-efficient-convolutional-neural-network-training}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FloatSD: A New Weight Representation and Associated Update Method for Efficient Convolutional Neural Network Training — https://4ort.xyz/entity/floatsd-a-new-weight-representation-and-associated-update-method-for-efficient-convolutional-neural-network-training (retrieved 2026-05-24)