Stacked_Autoencoder
Image classifier
This software enables the creation of deep learning networks with stacked auto-encoders and fine-tunes them using backpropagation for image classification tasks.
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
41 stars
3 watching
14 forks
Language: Matlab
last commit: over 8 years ago
Linked from 1 awesome list
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 weitw/imagedenoise | Develops and compares various image denoising algorithms using MATLAB and deep learning | 144 |
 chenxi116/pnasnet.tf | An implementation of PNASNet-5 architecture in TensorFlow for image classification on ImageNet. | 102 |
 trungnt13/sisua | A software framework for semi-supervised generative Autoencoder models applied to single-cell data analysis. | 18 |
 csjunxu/twsc-eccv2018 | A Matlab implementation of an image denoising scheme based on sparse coding and trilateral weighting. | 91 |
 aomanhao/matlab-image-dehaze-enhance | An implementation of image dehazing and enhancement techniques in MATLAB | 119 |
 agl/jbig2enc | An image compression tool that generates bi-level images using the JBIG2 encoding algorithm. | 5 |
 zhengpeng7/birefnet | An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |
 matlab-deep-learning/convmixer-patches-are-all-you-need | Demonstrates how to implement and train a ConvMixer architecture for image classification in MATLAB | 6 |
 bimsbbioinfo/maui | An autoencoder-based toolkit for multi-omics data analysis using Bayesian latent factor models and deep learning | 49 |
 madebyollin/taesd | A Tiny AutoEncoder implementation for Stable Diffusion's image generation model | 602 |
 zhegan27/convsent | Trains an autoencoder to learn generic sentence representations using convolutional neural networks | 34 |
 jakezhaojb/arae | An implementation of Adversarially Regularized Autoencoders for language generation and discrete structure modeling. | 400 |
 gink03/alt-i2v | An implementation of a deep learning-based image representation learning approach using a modified fully connected layer and transfer learning from VGG16 | 34 |
 yulingtianxia/core-ml-sample | A demo project demonstrating the integration of Core ML and Vision Framework with Swift 4 for image classification using an Inception V3 network. | 217 |
 atiyo/deep_image_prior | Reconstructs images using untrained neural networks to manipulate and transform existing images | 216 |