Efficient acceleration of deep learning inference on resource-constrained edge devices: A review

MMH Shuvo, SK Islam, J Cheng… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted
in breakthroughs in many areas. However, deploying these highly accurate models for data …
被引用次数：70 相关文章

Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

MMH Shuvo, SK Islam, J Cheng, BI Morshed - 2023 - ttu-ir.tdl.org
Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted
in breakthroughs in many areas. However, deploying these highly accurate models for data …
[PDF] researchgate.net

[PDF][PDF] Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

MDMH SHUVO, SK ISLAM, J CHENG, BI MORSHED - researchgate.net
Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted
in breakthroughs in many areas. However, deploying these highly accurate models for data …
[PDF] researchgate.net

[PDF][PDF] Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

MDMH SHUVO, SK ISLAM, J CHENG, BI MORSHED - researchgate.net
Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted
in breakthroughs in many areas. However, deploying these highly accurate models for data …

Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

MMH Shuvo, SK Islam, J Cheng, BI Morshed - 2023 - ttu-ir.tdl.org
Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted
in breakthroughs in many areas. However, deploying these highly accurate models for data …