Defining a Variational Autoencoder The demo code that defines a VAE that corresponds Figure 2 is presented in Listing 2. The __init__() method defines the five neural network layers used by the system ...

A convolutional neural network is a type of artificial neural network in which the neurons are organized into receptive fields in a very similar way to neurons in the visual cortex of a biological ...

Dear-DIA uses a convolutional neural network to recalculate the peak shape similarity of fragments in the same class to eliminate ... Deep variational autoencoder for proteomics mass spectrometry ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...