What is the structure of a neural network?
A neural network is composed of layers of interconnected nodes, also known as neurons, that receive and process information. The structure of a neural network typically consists of three types of layers: input layer, hidden layers, and output layer. The input layer receives data, the hidden layers process and transform the data with complex mathematical operations, and the output layer produces the final result or prediction. Each neuron in a layer is connected to neurons in the adjacent layers through weighted connections, which determine the strength of the signal passed between neurons. The structure of a neural network allows for the complex processing of data and the ability to learn from patterns and make predictions.
This mind map was published on 7 November 2024 and has been viewed 17 times.
