In earlier days of AI, the scientists was trying to build computers systems which will have
visual data. In the last few decades, we have seen lots of research has been done and have …

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 …

With the deep learning (DL) sweeping the world. Traditional image classification methods
are difficult to process huge image data and cannot meet people's requirements for image …

Deep learning is a vital technique to implement artificial intelligence and a significant part of
machine learning. In the last decades, deep learning gained enormous popularity due to the …

The objective of this thesis was to study the application of deep learning in image
classification using convolutional neural networks. The Python programming language with …

Abstract The term Deep Learning can be termed as the subset of artificial intelligence with
multiple network layers forming neural patterns. People's interest in having the knowledge of …

Classification is one of the most popular topics in image process. In this paper, it provides
the specific process of convolutional neural network in deep learning. Here builds typical …

In this article a brief description of image classification task is given, image datasets and
basics of convolutional neural networks are described. The paper reviews convolutional …

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

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