In this project, a convolutinal auto-encoder based unsupervised learning and its transfer learning are built
-
Updated
Jun 21, 2023 - Python
In this project, a convolutinal auto-encoder based unsupervised learning and its transfer learning are built
Bachelors project of group CS-23-DAT-6-06 of Aalborg university
Supreme Prosecutors' Office projects
Trained model used for Salient Object Detection models evaluation for my thesis.
This project demonstrates how CAE can be implemented in tensorflow framework. The dataset used is Fashion-MNIST Dataset.
A previous project based on tensorflow in COMP 5212, HKUST. The project includes user-customized momentum SGD optimizer, CNN and CAE (convolutional autoencoder).
Correlating ChIP-seq peaks from multiple datasets by stacked multiview using convolutional autoencoders on 3D tensors
Time Series Forecasting using RNN, Anomaly Detection using LSTM Auto-Encoder and Compression using Convolutional Auto-Encoder
Convolutional Autoencoder for Denoising Images
Collection of autoencoder models in Tensorflow
Implementation of Cancelable Biometric Template Generation using Convolutional Autoencoder
High Dynamic Range Image Synthesis via Attention Non-Local Network
Music Xtraction with Nonstationary Gabor Transforms and Convolutional Denoising Autoencoders
Micro neural network with multi-dimensional layers, multi-shaped data, fully or locally meshing, conv2D, unconv2D, Qlearning, ... for test!
Convolutional autoencoder for encoding/decoding RGB images in TensorFlow with high compression ratio
Image Denoising Using Deep Convolutional Autoencoder with Feature Pyramids
A convolutional auto-encoder for compressing time sequence data of stocks.
Implementation of a convolutional auto-encoder in PyTorch
Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
Unsupervised deep learning system for local anomaly event detection in crowded scenes
Add a description, image, and links to the convolutional-autoencoder topic page so that developers can more easily learn about it.
To associate your repository with the convolutional-autoencoder topic, visit your repo's landing page and select "manage topics."