Neural Networks
Neural networks, also known as artificial neural networks (ANNs), are a type of computational model inspired by the functioning of the human brain. These models are used in machine learning (machine learning) and artificial intelligence (AI) to solve a wide range of tasks, including image recognition, natural language analysis, data prediction and more.
Neural networks are composed of computational units called ‘artificial neurons’ or ‘nodes’ that are organised in layers or ‘layers’. The artificial neurons in a neural network are connected to each other by synaptic weights, which determine the importance of the connections between the neurons. Each neuron calculates a linear combination of its inputs weighted by the synaptic weights and then applies an activation function to produce an output.
Neural networks are trained through a process called ‘learning’. During training, the neural network is fed a set of training data, and the synaptic weights are updated iteratively so that the network can learn to perform a specific task, such as object recognition in images or automatic text translation.
