AI Intelligence

  Introduction Artificial neural networks (ANNs) are a branch of machine learning that is inspired by the structure and function of the biological neural networks in the animal brain. ANNs consist of interconnected units called artificial neurons, which process and transmit signals to other neurons. ANNs can learn from data and perform various tasks, such as image recognition, natural language processing, and speech synthesis. ANNs are also the basis of deep learning, which is a subfield of machine learning that uses multiple layers of neurons to extract features and representations from data. How do ANNs work similarly to the human brain? ANNs are modeled after the human brain, which is composed of billions of neurons that communicate with each other through synapses. Each neuron receives inputs from other neurons, integrates them, and produces an output that is sent to other neurons. The output of a neuron depends on its activation function, which is a mathematical function that ...