A neural network is an interconnected system composed of artificial neurons that mimic the structure and function of biological brains. It is commonly used in machine learning algorithms for pattern recognition and data analysis.
Related terms
Deep Learning: A subfield of machine learning that focuses on training neural networks with multiple layers to learn complex patterns.
Activation Function: A mathematical function applied to the output of a neuron, determining whether it should activate or remain inactive.
Backpropagation: An algorithm used in training neural networks that adjusts the strength of connections between neurons based on the error generated during prediction.