jadhavhninad / Sparse_autoencoderLinks
Implementing sparse autoencoder for MNIST data classification using keras and tensorflow
☆23Updated 7 years ago
Alternatives and similar repositories for Sparse_autoencoder
Users that are interested in Sparse_autoencoder are comparing it to the libraries listed below
Sorting:
- 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
- Stacked Denoising AutoEncoder☆79Updated 5 years ago
- locally linear embedding algorithm code write by matlab☆32Updated 8 years ago
- A deep one-class classification based method for the task of high-dimensional anomaly detection for large-scale applications.☆10Updated 7 years ago
- ☆54Updated 6 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆47Updated 6 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆29Updated 10 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调☆43Updated 9 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆10Updated 6 years ago
- Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification☆93Updated 4 years ago
- Bagging, boosting and random forests in Matlab☆25Updated 10 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆132Updated 2 years ago
- 基于PyTorch使用迁移学习完成项目☆60Updated 7 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 6 years ago
- nirmalsenthilnathan / Open-Set-Domain-Adaptation-for-Hyperspectral-Image-Classification-Using-Generative-Adversarial-NetwoThe Noval approach for dealing with hyperspectral images with the help of openset domain adaptatin and generative adversarial network.☆37Updated 5 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 7 years ago
- CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0☆74Updated 4 years ago
- Learn and analyse hyperspectral data of leafs with GAN☆11Updated 7 years ago
- 项目基于论文《Fuzzy c-Means Algorithms for Very Large Data》，使用Python语言实现FCM算法及其扩展算法，包括FCM、spFCM、oFCM、kFCM、reskFCM、spkFCM、okFCM。☆66Updated 6 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 7 years ago
- ☆26Updated 8 years ago
- CNN auto-encoder on mnist.☆21Updated 3 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- 论文 Hinton等的论文 Matrix capsules with EM routing - Hinton, G. E., Sabour, S. and Frosst, N. (2018) Dynamic Routing Between Capsules - Sabou…☆19Updated 4 years ago
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆37Updated 6 years ago
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆60Updated 8 years ago
- improved by ACWGAN-gp☆10Updated 5 years ago
- This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.☆100Updated 6 years ago