Top Neural Network Architectures For Machine Learning Researchers

The neural networks discussed are specifically referred to as artificial neural networks. As the name implies, they are based on what is known about the structure and operation of the human brain. A neural network is a computing system composed of several crucial yet intricately linked parts, sometimes called "neurons," stacked in layers and processing data using dynamic state reactions to outside inputs. In this structure, designs are communicated to one or more hidden layers present in the network by the input layer, which in this structure has one neuron for each component present in the input data. These layers are only referred to as "hidden" because they do not make up the input or output layer.