NDTV

IIT Kharagpur Opens Applications For Free Deep Learning, AI Course, Starts January 19

Free Online Deep Learning Course 2026: It will run for 12 weeks Deep Learning Free Online Course 2025: IIT Kharagpur, in collaboration with SWAYAM, has opened registrations for its free online Deep ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
GitHub

Pull requests: Ishita-Mangal/Small-Image-Classification-Using-Convolutional-Neural-Network-CNN-

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
Frontiers

BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals

School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India Introduction: In recent years, Deep Learning (DL) architectures such as Convolutional Neural Network (CNN) ...
Frontiers

Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification

The First Hospital of Hunan University of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China Background: Breast cancer remains the most prevalent malignancy in women globally, ...
Scientific Research Publishing

Yin, C., Cheng, X., Liu, X. and Zhao, M. (2020) Identification and Classification of Atmospheric Particles Based on SEM Images Using Convolutional Neural Network with Attention ...

ABSTRACT: In this paper, the author studies the global stability of fractional-order fuzzy memristor neural networks with time delay and impulses. By applying the contraction mapping principle, the ...
IEEE

Reparameterized Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Image Classification

Abstract: With the advancement of deep learning techniques, transformer has been introduced into remote sensing scene classification (RSSC). Although transformer performs well in building long-range ...
IEEE

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations

Abstract: Deep convolutional neural networks (CNNs) have proven their effectiveness and are widely acknowledged as the dominant method for image classification. However, their lack of explainability ...