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 …

Deep learning based on neural networks has been widely used in image recognition,
speech recognition, natural language processing, automatic driving, and other fields and …

The breakthrough of deep learning has started a technological revolution in various areas
such as object identification, image/video recognition and semantic segmentation. Neural …

Deep neural networks have revolutionized a variety of applications in varying domains like
autonomous vehicles, weather forecasting, cancer detection, surveillance, traffic …

Bacteria classification is an essential task in medical field, for the diagnosis and treatment of
various diseases. Typically, classification has been done by clinical specialists using …

Convolutional neural networks (CNNs) are classical models for computer vision and
machine learning applications such as video surveillance, pattern recognition, weather …

Deployment of deep neural network (DNN) infer-ence on platforms like field programmable
gate array (FPGA) for acceleration can be challenging because of the limited resource …

Deep neural networks (DNNs) are promising solutions for most of the artificial intelligence
and machine learning applications in various fields like safety and transportation, medical …

Deep Neural Networks (DNNs) have become a promising solution for numerous machine
learning tasks, which include object detection, classification, weather forecasting, video …

The convolutional neural network (CNN) is an important deep learning method, which is
widely used in many fields. However, it is very time consuming to implement the CNN where …