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MathWorks Inc
deep learning hdl toolbox tm ![]() Deep Learning Hdl Toolbox Tm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/deep learning hdl toolbox tm/product/MathWorks Inc Average 96 stars, based on 1 article reviews
deep learning hdl toolbox tm - by Bioz Stars,
2026-04
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Journal: Sensors (Basel, Switzerland)
Article Title: Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces
doi: 10.3390/s24030899
Figure Lengend Snippet: ROCK 4C Plus, NVIDIA Jetson Nano, Google Coral, and Intel ® Arria ® 10 SX SoC Development Kit specification summary.
Article Snippet: However, as it is not available for any of the other CPU-based platforms or the
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces
doi: 10.3390/s24030899
Figure Lengend Snippet: NN implementation workflow for the Intel ® Arria ® 10 SX SoC Development Kit device using the MATLAB ® Deep Learning HDL Toolbox TM .
Article Snippet: However, as it is not available for any of the other CPU-based platforms or the
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces
doi: 10.3390/s24030899
Figure Lengend Snippet: Resource usage in Intel ® Arria ® 10 SX SoC Development Kit with MATLAB ® Deep Learning HDL Toolbox TM .
Article Snippet: However, as it is not available for any of the other CPU-based platforms or the
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces
doi: 10.3390/s24030899
Figure Lengend Snippet: Inference example, Intel ® Arria ® 10 SX SoC Development Kit with Matlab ® Deep Learning HDL Toolbox TM FP32 accelerator: ( a ) expected RIS, ( b ) inferred RIS, ( c ) error when matching the expected RIS and the inferred RIS, and ( d ) error when matching the opposite of the expected RIS and the inferred RIS (errors are shown in red in both ( c , d ), coincidences in green).
Article Snippet: However, as it is not available for any of the other CPU-based platforms or the
Techniques: