Implementation of CNN based autoencoders for color images in tensorflow.
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Updated
Jul 4, 2021 - Python
Implementation of CNN based autoencoders for color images in tensorflow.
My first research paper
An image similarity search engine has been developed that finds images similar to the image selected by the user from the dataset provided by the user. The latent vectors of the images are generated by a CNN based autoencoder model. KNN is used to find images similar to the selected image. An image similarity search engine platform has been created
This project was developed during the course Laboratory of Computational Physics
In this project, I will implement a CNN autoencoder for the Fashion-MNIST dataset, and examine the learned encodings.
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