in AI mathematically model how the human brain works. This approach enables the machine to think and learn as humans do. This is how smart technology today recognizes speech, objects, and more.
For an AI interview question about neural networks, the correct answer could be:
“Neural networks are a fundamental component of artificial intelligence inspired by the structure and functioning of the human brain. They consist of interconnected nodes, or neurons, organized into layers. These layers typically include an input layer, one or more hidden layers, and an output layer.
Each neuron receives input signals, performs a computation on them, and then passes the result to the next layer through weighted connections. These weights are adjusted during a process called training, where the network learns to recognize patterns and make predictions based on input data. This process is often accomplished using optimization algorithms like gradient descent and backpropagation.
Neural networks have shown remarkable success in various AI tasks, including image and speech recognition, natural language processing, and autonomous decision-making. They are a crucial technology driving advancements in artificial intelligence and machine learning.”