stacked-autoencoder
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Implementation of the stacked denoising autoencoder in Tensorflow
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Aug 21, 2018 - Python
用Tensorflow实现的深度神经网络。
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Aug 15, 2022 - Python
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
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Dec 8, 2022 - Jupyter Notebook
Stock Market Prediction on High-Frequency Data Using soft computing based AI models
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Sep 6, 2024 - Jupyter Notebook
Chapter 11: Transfer Learning/Domain Adaptation
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Jul 23, 2019 - Jupyter Notebook
Recommender System Model using Stacked Autoencoder
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Dec 11, 2019 - Jupyter Notebook
Stacked Denoising and Variational Autoencoder implementation for MNIST dataset
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Sep 26, 2018 - Python
Stacked Autoencoder, Support Vector Machine, Wavelet Transform
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Apr 19, 2020 - Python
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
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Nov 20, 2022 - Jupyter Notebook
Collection of autoencoder models in Tensorflow
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Nov 30, 2019 - Python
Fraud detection algorithm using Autoencoders and Stacked Autoencoders to detect fraudulent physicians in CMS Part B claims data
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Dec 6, 2019 - Python
Demonstrated experiments with De-noising and Stacked Autoencoders on Fashion MNIST Dataset
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Dec 21, 2018 - Python
Tackling some possible applications for AutoEncoders
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Mar 30, 2019 - Jupyter Notebook
🎬 Movie rating prediction system (1-5 stars) using Stacked AutoEncoders and PyTorch for precise collaborative filtering (⭐️⭐️⭐️⭐️⭐️)
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Jul 21, 2025 - Python
This project presents a novel hybrid deep learning architecture for EEG-based emotion recognition that combines Stacked Autoencoders (SAE), Long Short-Term Memory (LSTM) networks, and temporal sequence learning. Built upon the DEAP dataset from Queen Mary University, London.
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Nov 3, 2025
A repository for compiling unsupervised learning implementations in tensorflow
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Dec 17, 2018 - Python
We use stacked Autoencoders to build a powerfull recommender system for movies.
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Apr 7, 2022 - Python
This repository contains my implementations for Neural Networks and Fuzzy Logic assignments
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Apr 2, 2021 - Jupyter Notebook
My Deep Learning and Machine Learning projects
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Jul 31, 2021 - Jupyter Notebook
Um modelo de redes autoassociativas empilhadas para detectar faltas em transformadores de potência
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Oct 9, 2021 - MATLAB
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