Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

Over the past decade, the dominance of deep learning has prevailed across various
domains of artificial intelligence, including natural language processing, computer vision …

On the road to making self-driving cars a reality, academic and industrial researchers are
working hard to continue to increase safety while meeting technical and regulatory …

Deep neural network (DNNs) is an extensive field which used for application those have
complex nature such as processing of voice and image. It has two main varieties namely …

Face recognition has achieved great success owing to the fast development of deep neural
networks in the past few years. Different loss functions can be used in a deep neural network …

Convolutional neural network (CNN), a well-known machine learning algorithm, has been
widely used in the field of computer vision for its amazing performance in image …

Over the past decade, deep convolutional neural networks (CNN) have been widely
embraced in various visual recognition applications owing to their extraordinary accuracy …

Convolutional neural networks (CNN) have turned into one of the key algorithms in machine
learning for content classification of digital images. Nevertheless, the CNN computational …

Deep Neural Networks (DNNs) are widely used for complex applications, such as image
and voice processing. Two varieties of DNNs, namely Convolutional Neuronal Networks …

Advancements in technology and smart devices demand incubation of advanced learning
methodologies to learn or capture the underlying patterns in the data and further utilize and …