IEEE

MedAug-Net Powered Hybrid CNN-SVM: A Robust Model for Capsule Endoscopy Image Classification

Abstract: Since capsule endoscopy offers high-resolution, non-invasive imaging of the digestive tract, it has completely changed gastrointestinal diagnostics. However, the necessity for high ...
Hosted on MSN

Build a Neural Network for Multiclass Classification with Softmax in Python

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
GitHub

Image Classification with Neural Networks in Python

This project demonstrates image classification using Convolutional Neural Networks (CNNs) in Python with TensorFlow and Keras, trained and tested on the CIFAR-10 dataset. The CIFAR-10 dataset consists ...
GitHub

A Python library for audio feature extraction, classification, segmentation and applications

pyAudioAnalysis provides easy-to-call wrappers to execute audio analysis tasks. Eg, this code first trains an audio segment classifier, given a set of WAV files stored in folders (each folder ...
IEEE

Multilabel SVM active learning for image classification

Abstract: Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categorized into ...