Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

When we generalize this, a neural network looks like the configuration below. In our previous example, we have three input units, a hidden layer with 4 units, and 1 output unit. Notice that networks ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

We trained a [4−60−60−3] feedforward ANN on the IRIS dataset: IRIS is a classical non-linearly separable toy dataset containing 3 classes—3 types of plants—with 50 instances each, to be classified ...