FxpNet: Training a deep convolutional neural network in fixed-point representation

Research article (2017 International Joint Conference on Neural Networks (IJCNN), 2017) · cited 50× · AI/ML
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FxpNet: Training a deep convolutional neural network in fixed-point representation

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FxpNet: Training a deep convolutional neural network in fixed-point representation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). FxpNet: Training a deep convolutional neural network in fixed-point representation. Retrieved May 24, 2026, from https://4ort.xyz/entity/fxpnet-training-a-deep-convolutional-neural-network-in-fixed-point-representation
MLA “FxpNet: Training a deep convolutional neural network in fixed-point representation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fxpnet-training-a-deep-convolutional-neural-network-in-fixed-point-representation.
BibTeX @misc{4ortxyz_fxpnet-training-a-deep-convolutional-neural-network-in-fixed-point-representation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FxpNet: Training a deep convolutional neural network in fixed-point representation}}, year = {2026}, url = {https://4ort.xyz/entity/fxpnet-training-a-deep-convolutional-neural-network-in-fixed-point-representation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FxpNet: Training a deep convolutional neural network in fixed-point representation — https://4ort.xyz/entity/fxpnet-training-a-deep-convolutional-neural-network-in-fixed-point-representation (retrieved 2026-05-24)

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