oyebade / Keras---Deep-auto-encoder-trained-layerwiseLinks
The project codes up a three hidden layer deep auto encoder, trained in a greedy layerwise fashion for initializing a corresponding deep neural network. Also, it consider training criteria such as dropout and sparsity for improving feature learning.
☆11Updated 8 years ago
Alternatives and similar repositories for Keras---Deep-auto-encoder-trained-layerwise
Users that are interested in Keras---Deep-auto-encoder-trained-layerwise are comparing it to the libraries listed below
Sorting:
- RBM/DBN implementation with tensorflow attempt project☆80Updated 9 years ago
- Stacked Denoising AutoEncoder☆79Updated 5 years ago
- Convolutional Neural Network based regression approach for estimating machinery's remaining useful life☆139Updated 6 years ago
- ☆117Updated 7 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆154Updated 6 years ago
- Implementation of Accurate Online Support Vector Regression in Python.☆86Updated 6 years ago
- ☆11Updated 7 years ago
- Data for PHM 2015 data challenge☆15Updated 9 years ago
- Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.☆33Updated 8 years ago
- instance based Transfer learning, TrAdaboost, mutisource-trAdaBoost regresion☆15Updated 7 years ago
- This repository is mainly to show the source code of neural component analysis.☆24Updated 7 years ago
- A fully connected neural network classifier with arbitrary number of hidden layers, different activation functions, etc..☆15Updated 6 years ago
- A deep learning framework for fault diagnositcs with PyTorch☆50Updated 5 years ago
- time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.☆120Updated 6 years ago
- Transfer learning algorithm TrAdaboost,coded by python☆125Updated 2 years ago
- Implementation of simple autoencoders networks with Keras☆245Updated 5 years ago
- Stock price prediction using ensemble MLP in PyTorch.☆35Updated 8 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- Implementation of the stacked denoising autoencoder in Tensorflow☆205Updated 7 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Updated 4 years ago
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆69Updated 7 years ago
- Dual Staged Attention Model for Time Series prediction☆66Updated 7 years ago
- pytorch >>> 快速搭建自己的模型！☆125Updated 3 years ago
- mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)☆109Updated 8 years ago
- Source code and dataset for the paper ""☆30Updated 5 years ago
- InfoGAN to generate temporal sequences.☆25Updated 6 years ago
- Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…☆127Updated 2 years ago
- Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).☆30Updated 3 years ago
- ☆47Updated 7 years ago
- Materials for PHM Conference 2016 Tutorial on Big Data☆21Updated 7 years ago