In this project, a convolutinal auto-encoder based unsupervised learning and its transfer learning are built
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Updated
Jun 21, 2023 - Python
In this project, a convolutinal auto-encoder based unsupervised learning and its transfer learning are built
Simple Image Searching on CIFAR10 dataset using Conv Autoencoder
Bachelors project of group CS-23-DAT-6-06 of Aalborg university
Supreme Prosecutors' Office projects
PyTorch implementations of an Undercomplete Autoencoder and a Denoising Autoencoder that learns a lower dimensional latent space representation of images from the MNIST dataset.
Convolutional autoencoder reducing traffic sign images to 1/6 of their original size.
Convolutional autoencoder removing noise from Fashion MNIST clothing images.
Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using Convolutional Neural Network and Convolutional Autoencoder
Experiments that accompany a paper in which Transfer-Learning applied to GAN is examined
🔍 Image Search engine based on mnist dataset.
Convolutional Autoencoder Implementation in Pytorch
Trained model used for Salient Object Detection models evaluation for my thesis.
Building Auto-encoders using Deep Learning models in PyTorch
Conv2dAE nets as feature extractors VS hand-crafted 'pyaudioanalysis' features
This project demonstrates how CAE can be implemented in tensorflow framework. The dataset used is Fashion-MNIST Dataset.
A classifier for the Devanagari Handwritten Character Dataset that gives the higher accuracy than the author using CNN+SVM model
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