AI Training Exam

A visually engaging illustration showcasing various elements of artificial intelligence, such as neural networks, robotics, and machine learning algorithms, with a futuristic background.

Welcome to the AI Training Exam! Test your knowledge on various aspects of artificial intelligence and see how well you understand this fascinating field.

This quiz covers:

Machine Learning
Deep Learning
Artificial Intelligence Concepts
Applications of AI

25 Questions6 MinutesCreated by LearningMachine42

AI is incorporated into a variety of different types of technology. Here are some of the examples EXCEPT

Automation

Siri

Machine vision

NLP

Which of these does NOT use machine learning/AI?

Driverless cars

SIRI/Alexa

Sonos wireless speakers

Facial recognition on your phone

What are two characteristics of artificial intelligence?

It is an agile, responsive network technology that scales easily and adapts to meet business requirements.

It uses systems that mimic human cognitive functions such as learning and problem solving.

It uses intelligent agents that interact with the environment and make decisions to reach a specific goals.

It translates intent into policies and then uses automation to deploy appropriate network configurations.

Artificial intelligence uses statistical techniques to give computers the ability to learn from their environment.

What is the name of the computer program that contains the distilled knowledge of an expert ?

Management information System

Expert system

Data base management system

Artificial intelligence

( Weak AI ) is

A set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans

The study of mental faculties through the use of mental models implemented on a computer.

The embodiment of human intellectual capabilities within a computer.

All of the above

Which of the Following is not a learning technique ?

Programmed Learning

Supervised Learning

Reinforcement Learning

Unsupervised Learning

Which of the Following is an attribute of strong or Generalized AI ?

Perform independent tasks

Cannot teach itself new strategies

Operate with Human-level Consciousness

Can Perform Specific tasks , but cannot learn new ones

Which of these statements is True ?

Cognitive systems can only translate small volumes of audio data into their literal text translations at massive speeds .

Cognitive systems can learn from their successes and failures

Cognitive systems can derive mathematically precise answers following a rigid decision tree approach

Cognitive systems can only process neatly organized structured data

When Creating Deep Learning algorithms , developers configure the number of layers and the type of functions that connect the outputs of each layer to the inputs of the next .

TRUE

FALSE

When an ENTIRE dataset is passed forward and backward through the neural network only ONCE

One epoch

One batch

One iteration

What is a cost function?

function describes how computationally expensive is a neural network

An algorithm used to find the minimum of a function

Different name for activation function

a way to determine how well the machine learning model has performed given the different values of each parameter

What is activation function?

A way to determine how well the machine learning model has performed given the different values of each parameter

an optimization algorithm used to find the values of parameters (coefficients) of a function (f) that minimizes a cost function (cost)

Function describes how computationally expensive is a neural network

Function used to enable Neural Network to solve non-linear problems

What if we would like to have prediction output (binary classification) represented by probability, which activation function is the best choice?

Tanh

ReLu

Sigmoid

Linear

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