The Autoencoder.py file implements the Autoencoder class in torch. The training.py file performs the training over the entire training dataset. The testing.py file gets a random sample from the ...

A Simple Autoencoder Implementation in C++ An autoencoder is a neural network, basically having the same input and output data values. Thus it tries to learn the representation of the data set. By ...

Autoencoder is one of the most prominent methods in detecting attacks in RT-IoT2022 because the unsupervised learning method can capture abnormal patterns in the dataset. However, finding the optimum ...

An autoencoder is a neural network that generates data highly similar to the input data for output. Although an autoencoder theoretically produces output almost identical to the input upon completion ...

LSTM autoencoder is an encoder that is used to compress data using an encoder and decode it to retain original structure using a decoder.

The autoencoder network model for HIV classification, proposed in this paper, thus outperforms the conventional feedforward neural network models and is a much better classifier.