News

IEEE2y
A convolutional and transformer based deep neural network for automatic modulation classification
Automatic modulation classification (AMC) aims at identifying the modulation of the received signals, which is a significant approach to identifying the target in military and civil applications. In ...
IEEE1y
Convolutional neural network-based object classification for unmanned aerial vehicles using micro-Doppler features | IET Conference Publication - IEEE Xplore
In recent years, the number of Unmanned Aerial Vehicle (UAV) has increased dramatically, and the requirements for target-recognition radars have increased as well. In this paper, a UAV detection and ...
GitHub1y
sagar448/Keras-Convolutional-Neural-Network-Python: A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python - GitHub
A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python - sagar448/Keras-Convolutional-Neural-Network-Python ...
GitHub4mon
Introduction to Convolutional Neural Networks (CNNs) for classification, segmentation, and video recognition, object detection - GitHub
Introduction to Convolutional Neural Networks (CNNs) for classification, segmentation, and video recognition, object detection - ayan1c2/CNN_Lecture ...
Analytics India Magazine7y
Overview of Convolutional Neural Network in Image Classification - Analytics India Magazine
In machine learning, Convolutional Neural Networks (CNN or ConvNet) are complex feed forward neural networks. CNNs are used for image classification and recognition because of its high accuracy. It ...
Visual Studio Magazine3y
Convolutional Neural Networks for MNIST Data Using PyTorch
The "Hello World" of image classification is a convolutional neural network (CNN) applied to the MNIST digits dataset. A good way to see where this article is headed is to take a look at the ...
Time3mon
The Definition of Convolutional Neural Networks (CNNs) | TIME
A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically designed to process and analyze visual information.