MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Deep learning neural networks, or artificial neural networks, attempts to mimic the human brain through a combination of data inputs, weights, and bias.

Detailed explanation-2: -Neural networks are a commonly used, specific class of machine learning algorithms. Artificial neural networks are modeled on the human brain, in which thousands or millions of processing nodes are interconnected and organized into layers.

Detailed explanation-3: -A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain.

Detailed explanation-4: -The neurons in the human brain perform their functions through a massive inter-connected network known as synapses.

Detailed explanation-5: -Learning in ANN can be classified into three categories namely supervised learning, unsupervised learning, and reinforcement learning.