Uzma,, Manzoor, U. and Halim, Z. (2023) Protein Encoder An Autoencoder-Based Ensemble Feature Selection Scheme to Predict Protein Secondary Structure. Expert Systems with Applications, 213, Article ...

The model employs a three-dimensional (3D) convolutional autoencoder, with an encoder-decoder structure that learns spatiotemporal representations and reconstructs the input through the latent space.

In the computer vision field, self-supervised representation learning has been a challenging problem for a long time. Self-supervised representation learning aims to learn transferrable representation ...

To summarize, the above results suggest that a variational autoencoder with 4 hidden layers in both of the encoder and decoder modules exhibited the best performance in terms of learning a meaningful ...

Build the encoder model decoder model separately so that we can easily differentiate between input and output # This model shows encoded images encoder = Model(input_img, encoded) # Creating a decoder ...

The Overall Program Structure The overall structure of the PyTorch autoencoder anomaly detection demo program, with a few minor edits to save space, is shown in Listing 3. I prefer to indent my Python ...