The topic of research for this thesis has been to understand the architecture of the Nvidia Tegra Xavier system on chip for running deep learning inference with TensorRT
Detailed simulation is one of the most expensive tasks, in terms of time and computing resources for...
Veliki dio IT industrije je posvećen istraživanju algoritama dubokog učenja. Računalno su složeni i ...
TensorRT plans generated on a Jetson AGX Xavier Developer Kit using code and instructions from NVIDI...
International audienceThe success of Deep Learning (DL) algorithms in computer vision tasks have cre...
Computer vision tasks such as image classification have prevalent use and are greatly aided by the d...
In recent years, the continuous development of artificial intelligence has largely been driven by al...
As deep learning has been adopted in various domains, the inference process is of growing importance...
Deep learning-based solutions and, in particular, deep neural networks (DNNs) are at the heart of se...
Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily li...
Nowadays, Deep learning-based solutions and, in particular, deep neural networks (DNNs) are getting ...
AI and deep learning are experiencing explosive growth in almost every domain involving analysis of ...
Deep learning-based object detection technology can efficiently infer results by utilizing graphics ...
The widely-adopted practice is to train deep learning models with specialized hardware accelerators,...
Dissertação de mestrado integrado em Engenharia InformáticaMachine Learning (ML) gives a computer sy...
Presented at DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous ...
Detailed simulation is one of the most expensive tasks, in terms of time and computing resources for...
Veliki dio IT industrije je posvećen istraživanju algoritama dubokog učenja. Računalno su složeni i ...
TensorRT plans generated on a Jetson AGX Xavier Developer Kit using code and instructions from NVIDI...
International audienceThe success of Deep Learning (DL) algorithms in computer vision tasks have cre...
Computer vision tasks such as image classification have prevalent use and are greatly aided by the d...
In recent years, the continuous development of artificial intelligence has largely been driven by al...
As deep learning has been adopted in various domains, the inference process is of growing importance...
Deep learning-based solutions and, in particular, deep neural networks (DNNs) are at the heart of se...
Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily li...
Nowadays, Deep learning-based solutions and, in particular, deep neural networks (DNNs) are getting ...
AI and deep learning are experiencing explosive growth in almost every domain involving analysis of ...
Deep learning-based object detection technology can efficiently infer results by utilizing graphics ...
The widely-adopted practice is to train deep learning models with specialized hardware accelerators,...
Dissertação de mestrado integrado em Engenharia InformáticaMachine Learning (ML) gives a computer sy...
Presented at DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous ...
Detailed simulation is one of the most expensive tasks, in terms of time and computing resources for...
Veliki dio IT industrije je posvećen istraživanju algoritama dubokog učenja. Računalno su složeni i ...
TensorRT plans generated on a Jetson AGX Xavier Developer Kit using code and instructions from NVIDI...