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At a Glance
• Artificial Intelligence is a branch of computer science by which we can create intelligent machines which can
behave like a human, think like humans, and able to make decisions.
• There are three types of AI—Artificial Narrow Intelligence, Artificial General Intelligence, Artificial Super
Intelligence.
• Just about all of the AI-based methods built till this date fall below the category of Artificial Narrow
Intelligence.
• A neural network is a system of neurons working in the form of a network. A neural net consists of thousands
or even millions of simple processing nodes that are densely interconnected.
• Data is a collection of raw facts and figures. Data can be structured and unstructured.
• Machine learning is an application of artificial intelligence (AI) that provides systems the ability to
automatically learn and improve from experience without being explicitly programmed.
• There are three types of machine leaning—supervised, unsupervised and reinforcement.
• Deep Learning is a subset of ML. In DL, models are trained by using a large set of labelled data and neural
network architectures that contain many layers.
• In Traditional programming one has to manually formulate code rules while in Machine Learning the
algorithms automatically formulate the rules from the data.
Exercise
Solved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. What is divided into multiple layers and each layer is further divided into several blocks called as nodes.?
a. Neural Network b. Convolutional Neural Network (CNN)
c. Machine learning algorithm d. Hidden layers
2. Which of these jobs could be taken by a robot using AI?
a. Teacher b. Doctor
c. Nurse d. All of these
3. In , the machine is trained with huge amounts of data which helps it in training itself around the
data.
a. Supervised Learning b. Deep Learning
c. Classification d. Unsupervised Learning
4. What do you understand by Back-propagation in a neural network?
a. The error is removed and new errors are computed in hidden layers
b. The error is sent back in the hidden layers and the weights are updated to reduce the error
c. The error is sent back to the input layer so that a new value can be entered again by the user
d. None of these
124 Touchpad Artificial Intelligence (Ver. 2.0)-XI

