What is a “neuron” in an artificial neural network?
a) A computational unit that processes inputs and generates an output
b) A memory storage unit
c) A connection between two layers
d) A feature selection technique
Answer:
a) A computational unit that processes inputs and generates an output
Explanation:
In an artificial neural network (ANN), a neuron is a basic computational unit that takes input data, processes it using weights and an activation function, and then produces an output. Neurons are arranged in layers, and the outputs of one layer are passed as inputs to the next.
Neurons in an ANN are inspired by the biological neurons in the human brain, where multiple inputs are aggregated and processed to generate a response. In machine learning, these neurons learn from data by adjusting their weights during training.
The strength of a neural network comes from the interconnected layers of neurons that enable the model to learn complex patterns and make predictions. These networks form the basis of deep learning algorithms.