Add to ORKGThe proliferation of research on high efficient performance on deep learning has contributed to an increasing challenge and interest in the topic concerning the integration of this advanced-technology into daily life. Although a large amount of work on the domain of machine learning has been dedicated to the accuracy, efficiency, net topology and algorithm in the training and recognition procedures, the investigation of deep learning implementations in highly resource-constrainted contexts has been relatively unexplored due to the large computational requirements involved during the process of training large-scale network. In light of this, one process concentrated on parameters extraction and dataflow design, implementation, optimization o...
With the intention of introducing newbies to these fields, this article covers deep learning in addi...
Many state-of-the-art deep learning models rely on dynamic computation logic, making them difficult t...
Deep learning powers many transformative core technologies including Autonomous Driving, Natural Lan...
The proliferation of research on high efficient performance on deep learning has contributed to an i...
Deep neural networks (DNNs) have led to significant advancements in machine learning. With deep str...
The high accuracy of Deep Neural Networks (DNN) come at the expense of high computational cost and m...
Recent decades have witnessed the breakthrough of deep learning algorithms, which have been widely u...
Deep neural networks have the capability to solve complex tasks through accurate function approximat...
peer reviewedWith renewed global interest for Artificial Intelligence (AI) methods, the past decade ...
Recent advances in Deep Learning (DL) research have been adopted in a wide variety of applications, ...
Machine learning is the branch of artificial intelligence giving computers the ability to learn patt...
In this paper we discuss a high performance implementation for Convolutional Neural Networks (CNNs) ...
In recent years, machine learning (ML) and, more noticeably, deep learning (DL), have be- come incre...
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a hug...
The rapid growth of data and ever increasing model complexity of deep neural networks (DNNs) have en...
With the intention of introducing newbies to these fields, this article covers deep learning in addi...
Many state-of-the-art deep learning models rely on dynamic computation logic, making them difficult t...
Deep learning powers many transformative core technologies including Autonomous Driving, Natural Lan...
The proliferation of research on high efficient performance on deep learning has contributed to an i...
Deep neural networks (DNNs) have led to significant advancements in machine learning. With deep str...
The high accuracy of Deep Neural Networks (DNN) come at the expense of high computational cost and m...
Recent decades have witnessed the breakthrough of deep learning algorithms, which have been widely u...
Deep neural networks have the capability to solve complex tasks through accurate function approximat...
peer reviewedWith renewed global interest for Artificial Intelligence (AI) methods, the past decade ...
Recent advances in Deep Learning (DL) research have been adopted in a wide variety of applications, ...
Machine learning is the branch of artificial intelligence giving computers the ability to learn patt...
In this paper we discuss a high performance implementation for Convolutional Neural Networks (CNNs) ...
In recent years, machine learning (ML) and, more noticeably, deep learning (DL), have be- come incre...
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a hug...
The rapid growth of data and ever increasing model complexity of deep neural networks (DNNs) have en...
With the intention of introducing newbies to these fields, this article covers deep learning in addi...
Many state-of-the-art deep learning models rely on dynamic computation logic, making them difficult t...
Deep learning powers many transformative core technologies including Autonomous Driving, Natural Lan...