What is artificial neural network architecture?

Artificial neural network architecture refers to the structure and organization of interconnected artificial neurons that simulate the behavior of biological neural networks found in the human brain. It consists of multiple layers of artificial neurons, also known as nodes or units, where each neuron receives input signals, performs computations, and produces an output. The architecture typically involves an input layer to receive data, one or more hidden layers responsible for processing and transforming the input, and an output layer that provides the final result. The connections between neurons, known as synapses, have associated weights that determine their importance in the overall computation. Various architectures, such as feedforward, recurrent, or convolutional neural networks, offer different structures for solving different types of problems, ranging from pattern recognition to natural language processing.

This mind map was published on 25 September 2023 and has been viewed 134 times.