What is a neural network in simple terms?
Technology
A neural network is a type of machine learning algorithm loosely modeled on the structure and function of the human brain. In addition, composed of multiple layers of interconnected artificial neurons designed to process input data and make predictions or classifications.
At a basic level, a neural network consists of three types of layers: an input layer, one or more hidden layers, and an output layer. The input layer receives the raw input data, such as an image or text, and passes it through the network.
Moreover, the hidden layers process the input data by applying a series of mathematical operations to it, and the output layer produces the final prediction or classification based on the input data.
Each neuron in a neural network becomes modeled as a mathematical function that takes in one or more inputs. Furthermore, performs a weighted sum of those inputs. And applies a nonlinear activation function to produce an output.
In conclusion, the weights of each neuron become learned through a process called backpropagation. Lastly, which adjusts the weights based on the difference between the predicted output and the actual output.
Technology
What is a neural network in simple terms?
