Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convolutional Neural Networks (CNN), which take inspiration from the hierarchical structure of the visual cortex, to form deep layers of convolutional operations, along with fully connected classifiers. Hardware implementations of these deep CNN architectures are challenged with memory bottlenecks that require many convolution and fully-connected layers demanding large amount of communication for parallel computation. Multi-core CPU based solutions have demonstrated their inadequacy for this problem due to the memory wall and low parallelism. Many-core GPU architectures...
Recent technological advances have proliferated the available computing power, memory, and speed of ...
Convolutional Neural Networks (CNNs) are currently adopted to solve an ever greater number of proble...
The rapid advancement of Artificial intelligence (AI) is making our everyday life easier with smart ...
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining w...
This thesis presents the results of an architectural study on the design of FPGA- based architecture...
Due to the huge success and rapid development of convolutional neural networks (CNNs), there is a gr...
Convolutional neural networks (CNNs) have been extensively used in many aspects, such as face and sp...
Over recent years, deep learning paradigms such as convolutional neural networks (CNNs) have shown g...
In the past decade, Convolutional Neural Networks (CNNs) have demonstrated state-of-the-art performa...
FPGA-based heterogeneous computing platform, due to its extreme logic reconfigurability, emerges to ...
The development of machine learning has made a revolution in various applications such as object det...
abstract: The rapid improvement in computation capability has made deep convolutional neural network...
Convolutional Neural Networks (CNNs) are becoming increasingly popular in deep learning applications...
In recent years, deep convolutional neural networks (ConvNet) have shown their popularity in various...
The increasing use of machine learning algorithms, such as Convolutional Neural Networks (CNNs), mak...
Recent technological advances have proliferated the available computing power, memory, and speed of ...
Convolutional Neural Networks (CNNs) are currently adopted to solve an ever greater number of proble...
The rapid advancement of Artificial intelligence (AI) is making our everyday life easier with smart ...
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining w...
This thesis presents the results of an architectural study on the design of FPGA- based architecture...
Due to the huge success and rapid development of convolutional neural networks (CNNs), there is a gr...
Convolutional neural networks (CNNs) have been extensively used in many aspects, such as face and sp...
Over recent years, deep learning paradigms such as convolutional neural networks (CNNs) have shown g...
In the past decade, Convolutional Neural Networks (CNNs) have demonstrated state-of-the-art performa...
FPGA-based heterogeneous computing platform, due to its extreme logic reconfigurability, emerges to ...
The development of machine learning has made a revolution in various applications such as object det...
abstract: The rapid improvement in computation capability has made deep convolutional neural network...
Convolutional Neural Networks (CNNs) are becoming increasingly popular in deep learning applications...
In recent years, deep convolutional neural networks (ConvNet) have shown their popularity in various...
The increasing use of machine learning algorithms, such as Convolutional Neural Networks (CNNs), mak...
Recent technological advances have proliferated the available computing power, memory, and speed of ...
Convolutional Neural Networks (CNNs) are currently adopted to solve an ever greater number of proble...
The rapid advancement of Artificial intelligence (AI) is making our everyday life easier with smart ...