AI Basics

What is a neural network?

• A series of algorithms that recognizes underlying relationships in data

• A type of computer hardware

• A cooking utensil used for frying

• A type of transportation vehicle

Explain the concept of machine learning.

• Machine learning involves programming computers to follow a set of rules.

• Machine learning is the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data without being explicitly programmed.

• Machine learning is the same as artificial intelligence.

• Machine learning is the process of teaching computers to think like humans.

How is natural language processing used in AI?

• Natural language processing is used in AI to cook food

• Natural language processing is used in AI to play music

• Natural language processing is used in AI to enable machines to understand, interpret, and generate human language.

• Natural language processing is used in AI to predict the weather

What is computer vision and its role in AI?

• Computer vision is a technology that enables computers to understand emotions and feelings.

• Computer vision is a field of artificial intelligence that enables computers to interpret and understand the visual world. It plays a crucial role in AI by providing machines with the ability to see and comprehend visual data, essential for various applications.

• Computer vision is a term used to describe the ability of computers to taste and smell.

• Computer vision is a field of artificial intelligence that focuses on audio processing.

What are the basic components of a neural network?

• kernels

• gradients

• neurons, weights, biases, activation functions, layers, loss function

• synapses

What are the types of machine learning?

• Semi-supervised learning

• Supervised learning, unsupervised learning, reinforcement learning

• Deep learning

• Linear regression

Give an example of a natural language processing application.

• Sentiment analysis

• Computer vision

• Speech recognition

• Machine learning

How does computer vision help in autonomous vehicles?

• Computer vision in autonomous vehicles processes visual data to detect and recognize objects, aiding in making real-time driving decisions.

• Computer vision in autonomous vehicles helps in cooking meals

• Computer vision in autonomous vehicles is designed to predict the weather

• Computer vision in autonomous vehicles is used for playing music

What is an activation function in a neural network?

• The physical button to turn on the neural network

• A mathematical function that determines the output of a neuron in a neural network.

• The color scheme of the neural network interface

• A cooking recipe used to train the neural network

What is supervised learning in machine learning?

• Supervised learning does not involve training a model

• Supervised learning is unsupervised learning

• Supervised learning involves training a model on a labeled dataset where input data has corresponding output labels.

• Supervised learning does not require labeled data