Home › Entities › academia › Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout

Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout

Research article (2016 IEEE 24th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2016) · cited 11× · AI/ML
academia openalex:W2510717548
Press Enter · cited answer in seconds

Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout

Summary

Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout is a scholarly article[1].

Key Facts

  • Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout. Retrieved May 24, 2026, from https://4ort.xyz/entity/increasing-network-size-and-training-throughput-of-fpga-restricted-boltzmann-machines-using-dropout
MLA “Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/increasing-network-size-and-training-throughput-of-fpga-restricted-boltzmann-machines-using-dropout.
BibTeX @misc{4ortxyz_increasing-network-size-and-training-throughput-of-fpga-restricted-boltzmann-machines-using-dropout_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout}}, year = {2026}, url = {https://4ort.xyz/entity/increasing-network-size-and-training-throughput-of-fpga-restricted-boltzmann-machines-using-dropout}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout — https://4ort.xyz/entity/increasing-network-size-and-training-throughput-of-fpga-restricted-boltzmann-machines-using-dropout (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/increasing-network-size-and-training-throughput-of-fpga-restricted-boltzmann-machines-using-dropout · Last refreshed: