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Artificial Intelligence
and
Its Applications
Presented By: Shubham Goyal
Software Consultant
Knoldus Inc.
01 What is Artificial Intelligence
02 Artificial Intelligence Insights
03 Deep Learning with Neural Networks
04 AI Applications
05 Demo
Our Agenda
c
Artificial
Intelligence
Artificial intelligence (AI) is the simulation of
human intelligence processes by machines,
especially computer systems. These
processes include learning (the acquisition
of information and rules for using the
information), reasoning (using rules to
reach approximate or definite conclusions)
and self-correction.
Learning Algorithms
Image Processing Neural Networks
Learning Algorithms
Image Processing Neural Networks
c
Deep Learning with
Neural Networks
Deep Learning is a subfield of machine
learning concerned with algorithms inspired by
the structure and function of the brain called
artificial neural networks.In deep learning, a
computer model learns to perform classification
tasks directly from images, text, or sound. Deep
learning models can achieve state-of-the-art
accuracy, sometimes exceeding human-level
performance. Models are trained by using a
large set of labeled data and neural network
architectures that contain many layers.
Thank You!
@Knolspeak
/KnoldusSoftware

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Artificial Intelligence And Its Applications

  • 1. Artificial Intelligence and Its Applications Presented By: Shubham Goyal Software Consultant Knoldus Inc.
  • 2. 01 What is Artificial Intelligence 02 Artificial Intelligence Insights 03 Deep Learning with Neural Networks 04 AI Applications 05 Demo Our Agenda
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  • 8. c Artificial Intelligence Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.
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  • 46. c Deep Learning with Neural Networks Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. Models are trained by using a large set of labeled data and neural network architectures that contain many layers.