Implementation of the stacked denoising autoencoder in Tensorflow

用Tensorflow实现的深度神经网络。

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Chapter 11: Transfer Learning/Domain Adaptation

Stock Market Prediction on High-Frequency Data Using soft computing based AI models

Recommender System Model using Stacked Autoencoder

Stacked Denoising and Variational Autoencoder implementation for MNIST dataset

Stacked Autoencoder, Support Vector Machine, Wavelet Transform

Collection of autoencoder models in Tensorflow

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

Fraud detection algorithm using Autoencoders and Stacked Autoencoders to detect fraudulent physicians in CMS Part B claims data

Tackling some possible applications for AutoEncoders

Demonstrated experiments with De-noising and Stacked Autoencoders on Fashion MNIST Dataset

A repository for compiling unsupervised learning implementations in tensorflow

We use stacked Autoencoders to build a powerfull recommender system for movies.

My Deep Learning and Machine Learning projects

This repository contains my implementations for Neural Networks and Fuzzy Logic assignments

Um modelo de redes autoassociativas empilhadas para detectar faltas em transformadores de potência