In order to train neural network algorithms for multiple machine learning tasks, like the
division of distinct categories of objects, various deep learning approaches employ data …

Computer vision makes computers enable to recognize and understand information from
digital images. It is a multidisciplinary field and aims to develop automated systems that able …

Computer vision is concerned with the automatic extraction, analysis, and understanding of
useful information from a single image or a sequence of images. We have used …

AI consists of a large number of domains, but Machine Learning is the most prominent one.
Deep learning, a subset of machine learning, is now overtaking all the various prediction …

Deep learning has recently been applied to scene labelling, object tracking, pose
estimation, text detection and recognition, visual saliency detection, and image …

Convolutional neural network (CNN) is a type of artificial neural network (ANN) with multiple
layers. From the past decades, it has been considered as a powerful classification technique …

Abstract Recently, Convolutional Neural Networks (CNNs) are used in variety of areas
including image and pattern recognition, speech recognition, biometric embedded vision …

The image classification is a classical problem of image processing, computer vision and
machine learning fields. Image classification is a complex procedure which relies on …

Research on the Application of Convolutional Neural Networks in the Image Recognition
Blog English EnglishGerman Sciendo Logo Login Publish with us Subjects Architecture and …

Traditional image classification methods are difficult to process huge image data and cannot
meet people's requirements for image classification accuracy and speed. Convolutional …