Explanation of deep learning and artificial intelligence and their application

1. Introduction to Deep Learning
Prof. Neeraj Bhargava
Kapil Chauhan
Department of Computer Science
School of Engineering & Systems Sciences
MDS University, Ajmer

2. DEFINITION OF DEEPLEARNING
The science and engineering of making intelligent machines,
especially intelligent computer programs is AI
Way of making a computer, a computer-controlled robot, or
a software think intelligently, in the similar manner the
intelligent humans think
How AI is accomplish:-
 Study how human thinks, how humans learn, decide, and work to
solve a problem
 Using outcomes to developing intelligent systems

3. GOALS OF AI
To Create Expert Systems
 System which exhibit intelligent behavior, learn, demonstrate,
explain, and advice its users
To Implement Human Intelligence in Machines
 Creating systems that understand, think, learn, and behave
like humans

4. INTELLIGENCE
It is the ability of a system to :
 Calculate
 Reason
 Perceive relationships and analogies
 Learn from experience
 Store and retrieve information from memory
 Solve problems
 Comprehend complex ideas
 Use natural language fluently
 Adapt new situations

5. COMPONENTS OF INTELLIGENCE

6. Reasoning − Set of processes that provide basis for
judgement, making decisions, and prediction
Learning − Activity of gaining knowledge or skill by
studying, practicing or experiencing something
Problem Solving − Process in which one perceives and tries
to arrive at a desired solution from a present situation
Perception − Process of acquiring, interpreting, selecting,
and organizing sensory information
Linguistic Intelligence − Ability to use, comprehend, speak,
and write the verbal and written language
COMPONENTS OF INTELLIGENCE

7. APPLICATIONS OF AI
 Automated customer support
 Answer questions like letting you know the status of your
order, help in finding a particular product based on your
description, among others
Personalized shopping experience
 Online stores use smallest piece of data about every followed
link or to personalize experience on a deeper level
 This personalization results into timely alerts, messages,
visuals and dynamic content that modifies according to user’s
demand and supply

8.  Healthcare
 AI-enabled workflow assistants are aiding doctors free up
their schedules, reducing time and cost by streamlining
processes etc.
 AI-powered technology helps pathologists in analyzing tissue
samples so as to make more accurate diagnosis
 Finance
 Automated advisors powered by AI, capable of predicting the
best portfolio or stock based on preferences by scanning the
market data.
 Actionable reports based on relevant financial data is also
being generated by scanning millions of key data points, thus
saving analysts numerous hours of work.

9.  Smart cars and drones
 With autonomous vehicles running on the roads
and autonomous drones delivering the shipments, a
significant amount of transportation and service related
issues can be resolved faster and more effectively
 Smart home devices
 These devices use AI to adjust their settings automatically
 These devices are controlled by smart voice assistants
 Smart lights can change intensity and color based on time
 Thermostats can adjust the temperature based on user
preference

10. Assignment
 Explain the term deep learning with respect of AI and
discuss the goal and application.