MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. In fact, it is the number of node layers, or depth, of neural networks that distinguishes a single neural network from a deep learning algorithm, which must have more than three.

Detailed explanation-2: -Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own. Deep learning is a subset of machine learning. While both fall under the broad category of artificial intelligence, deep learning is what powers the most human-like AI.

Detailed explanation-3: -Deep learning is a subset of machine learning. It still involves letting the machine learn from data, but it marks an important milestone in AI’s evolution. Deep learning was developed based on our understanding of neural networks.

Detailed explanation-4: -Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.

Detailed explanation-5: -Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.