Dear-DIA uses a convolutional neural network to recalculate the peak shape similarity of fragments in the same class to eliminate interfering ions and clustering results with low similarity (Fig. 1d).

Curious about this strange new breed of AI called an artificial neural network? We've got all the info you need right here.

The demo program creates and trains a 784-100-50-100-784 deep neural autoencoder using the Keras library. An autoencoder is a neural network that learns to predict its input.

A result from the Universal Approximation Theorem (sometimes called the Cybenko Theorem) states, loosely speaking, that a neural network with a single hidden layer and enough hidden nodes can ...