Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

Fully convolutional networks (FCNs) are a type of neural network architecture commonly used in computer vision tasks such as image segmentation, object detection and image classification.

Convolutional neural networks One of the key components of most deep learning–based computer vision applications is the convolutional neural network (CNN).

Recently, Agricultural Bank of China Co., Ltd. applied for a patent titled "Method, Device, Equipment, and Medium for Interface Element Localization Based on Deep Learning," marki ...

In this article, we delve into the fundamentals of Convolutional Neural Networks, their architecture, and their impact on the world of computer vision.

Description Convolutional Neural Networks (CNN) are mainly used for image recognition. The fact that the input is assumed to be an image enables an architecture to be created such that certain ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.