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
☆44Jul 29, 2016Updated 10 years ago
Alternatives and similar repositories for Stacked_Autoencoder
Users that are interested in Stacked_Autoencoder are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Optical Communications, developed using OptiSystem☆15Jul 18, 2018Updated 8 years ago
- Whale Optimization Algorithm used to train Neural Network☆19Nov 28, 2016Updated 9 years ago
- Used as transfer learning deep learning toolbox for matlab☆13Aug 31, 2015Updated 11 years ago
- this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to…☆82Dec 27, 2016Updated 9 years ago
- Implement publications on feature extraction using Tensorflow with examples of images and signal as input of networks☆15May 19, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Stacked Denoising AutoEncoder☆81Nov 22, 2019Updated 6 years ago
- 函数的分段线性拟合☆10Nov 15, 2017Updated 8 years ago
- The objective of the project is to classify steel plates fault into 7 different types. The end goal is to train several machine Learning …☆17Mar 4, 2019Updated 7 years ago
- Multivariate Time Series Classification using Dilated Convolutional Neural Network☆11Jul 8, 2019Updated 7 years ago
- This is a matlab implementation of Dynamic Time-Alignment (DTA) K-Means Kernel Clustering For Time Sequence Clustering. The code is simil…☆11Jan 11, 2016Updated 10 years ago
- Kolmogorov-Arnold Networks in MATLAB☆61Apr 16, 2026Updated 5 months ago
- The paper "Triple-shapelet Networks for Time Series Classification"☆14Feb 8, 2020Updated 6 years ago
- this code implements the Bayesian-MCMC based prognostics model. PHM2010 data challenge data are used to verifty the model.☆21Jan 13, 2021Updated 5 years ago
- ☆12Sep 29, 2017Updated 9 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Feature extraction from speech signals based on representation learning strategies using pre-trained autoencoders☆19Jul 6, 2023Updated 3 years ago
- Automated Raman Spectra Fluorescence Background Subtraction☆10May 15, 2019Updated 7 years ago
- The GitHub repository for the paper "Denoising Application of Magnetotelluric Low-Frequency Signal Processing"☆11Feb 22, 2023Updated 3 years ago
- Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!☆11Jun 1, 2017Updated 9 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆12Jun 29, 2022Updated 4 years ago
- Directional sparse filtering for blind speech separation☆11Jun 8, 2021Updated 5 years ago
- Multi-view dimensionality reduction using tensor canonical correlation analysis☆10Jun 28, 2018Updated 8 years ago
- ☆16Dec 17, 2019Updated 6 years ago
- Code for phase recovery in MadTwinNet for monaural singing voice separation☆12Jul 17, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Bees CNN Algorithm (A Fuzzy Evolutionary Deep Learning)☆10Dec 20, 2024Updated last year
- Independent Component Analysis for blind source separation.☆10Feb 19, 2016Updated 10 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆21Dec 18, 2021Updated 4 years ago
- 论文基于注意力机制的卷积神经网络模型 源代码☆17Aug 22, 2017Updated 9 years ago
- Deep Transfer Learning codes using Google TensorFlow☆13Apr 4, 2016Updated 10 years ago
- A tool for training robots through evolutionary and reinforcement learning methods☆12Jun 15, 2023Updated 3 years ago
- My matlab functions☆13Nov 9, 2014Updated 11 years ago
- Blind Source Separation (BSS) refers to a problem where both the sources and the mixing methodology are unknown, only mixture signals are…☆12Aug 13, 2020Updated 6 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆10May 29, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆10Apr 20, 2018Updated 8 years ago
- Training project about Deep Learing☆12Jun 22, 2017Updated 9 years ago
- Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution[testing][matconvnet]☆10Aug 18, 2018Updated 8 years ago
- iADMM for a low-rank representation optimization problem☆13Feb 5, 2021Updated 5 years ago
- Convolutional Deep Belief Network (Honglak Lee's ICML paper)☆22May 11, 2016Updated 10 years ago
- ☆14Feb 21, 2021Updated 5 years ago
- A ML tool to decompose seismic data into earthquake and ambient noise signals.☆13May 22, 2026Updated 4 months ago