IEEE

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional neural network (CNN) ...
IEEE

MCTGCL: Mixed CNN–Transformer for Mars Hyperspectral Image Classification With Graph Contrastive Learning

Abstract: Hyperspectral image (HSI) classification has been extensively studied in the context of Earth observation. However, its application in Mars exploration remains limited. Although ...
Hacker

Deep Learning CNN’s in Tensorflow with GPUs

In my last tutorial, you created a complex convolutional neural network from a pre-trained inception v3 model. In this tutorial, you’ll learn the architecture of a convolutional neural network (CNN), ...

Getty Images Holdings, Inc. Class A

View Getty Images Holdings, Inc. Class A GETY stock quote prices, financial information, real-time forecasts, and company news from CNN.
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
CNN

Just two Navajo Code Talkers remain alive. Here’s what they want America to know

Eighty years ago, as the sea swayed him from side to side on an attack vessel heading towards Iwo Jima, Thomas Begay started to feel afraid. “On the ship, they said: ‘get your last scrap of steak and ...
GitHub

cnn-image-classification

This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...
Frontiers

EEG-based emotion recognition using hybrid CNN and LSTM classification

Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as physical, behavioral, and mental changes. In the latest days, physiological activity has been used to study ...