GitHub

nikhilsth4/Recommendation-System-Stack-Autoencoder

This repository contains a Jupyter Notebook that implements a movie recommendation system using a Stacked Autoencoder (SAE) built with PyTorch. The system leverages collaborative filtering by learning ...
IEEE

Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis

Abstract: In the world of remote sensing, hyperspectral imaging has emerged as a powerful tool that captures incredibly detailed information about our environment. These images contain hundreds of ...
IEEE

Stacked Model with Autoencoder for Financial Time Series Prediction

Abstract: In this paper, we propose a stacked model with autoencoder for financial time series prediction. A stacked autoencoder model is used for feature extraction of high-dimensional stock factors.
GitHub

Comparison of Single AutoEncoder and Stacked Autoencoder

kapsamında kapsamlı bir analizini sunmaktır. Bu karşılaştırma sürecinde her iki modelin eğitim süreci, katman yapısı, kayıp fonksiyonu, optimizer tercihleri ve eğitim parametreleri titizlikle seçilmiş ...
Yahoo Finance

MicroCloud Hologram Inc. announces optimization of stacked sparse autoencoders through DeepSeek model

SHENZHEN, China, Feb. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they Announced the deep optimization of stacked sparse ...
Scientific Research Publishing

A Combination Method of Stacked Convolutional Auto-Encoder and Selective Kernel Attention Mechanism for Image Classification ()

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...