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autoencoders

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Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Using PyTorch.

autoencoder autoencoders cnn convolution-autoencoders convolutional-neural-networks data-compression deeplearning dimensionality-reduction linear-autoencoders neural-networks python3 pytorch udacity udacity-nanodegree

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Name		Name	Last commit message	Last commit date
.vscode		.vscode
models		models
screenshots		screenshots
.gitignore		.gitignore
README.md		README.md
conv-autoencoder.py		conv-autoencoder.py
linear.py		linear.py
models.py		models.py

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Autoencoders

Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Building autoencoders using PyTorch.

Simple Autoencoder

Real images on top, generated at the bottom

Convolutional Autoencoder

Real images on top, generated at the bottom

Using interpolations inplace of transpose convolutions

About

Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Using PyTorch.

autoencoder autoencoders cnn convolution-autoencoders convolutional-neural-networks data-compression deeplearning dimensionality-reduction linear-autoencoders neural-networks python3 pytorch udacity udacity-nanodegree

6 stars

1 watching

Report repository

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