One Week Short Course/FDP
Deep Learning and its Applications

(22nd June-30th June, 2020)

Recognized by AICTE at par with QIP for recognition/credits

Venue: Online Sessions Through Zoom

Certificates to participants by E&ICT Academy IIT Roorkee

Last Date for Registration: June 18th, 2020

Eligibility: Faculty/PhD/Research Scholars of engineering/technical institutions and persons from Govt. departments/labs and industry.

Experts from Industry: Mr. Bandenawaz Bagwan (Devarty Technologies Pvt Ltd)

Principal Investigator (E&ICT Academy IIT Roorkee): Dr. Sanjeev Manhas

Why Deep learning?

Deep learning is a method of data analysis that automates analytical model building. Deep learning techniques are becoming ever necessary due to various factors like growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage. Deep learning methods build quick and automatically producing models that can analyze bigger, more complex data and deliver faster, more accurate results on a very large scale. This analysis process further facilitates organizations in identifying profitable opportunities and avoiding unknown risks.

Objective of the Course

  • Introduction of deep learning and it's real-life applications.
  • Understanding of shallow and deep architecture.
  • Understanding of neural network and sequential modeling.
  • Benefits and Outcomes of the Course

  • The program would help th participants to understand the key concepts behind deep learning.
  • Participants would be able to learn how to build deep learning that is adaptable to any environment in real life.
  • Hands-on experience in hyper parameter tuning and regularization practice.

  • Course Program

  • The program is split into lectures and lab sessions.
  • Quizzes and project work for enhanced learning.
  • Hands-on experience on basic & advanced- level topics.
  • Interaction & learning with experts from academia & industry.
  • Certificates to the participants by E&ICT Academy IITR.

  • Course Content:
  • Understand the difference between machine learning and statistical data analysis
  • Data analysis Case study Project using diabetes dataset, Evaluate the accuracy and generality of machine learning models
  • Types of algorithms, Pipelining methods and use case, Exercise with Iris dataset, Regression problem case study
  • Binary classification case study, Artificial Neural Networks, The Neuron Diagram, Neuron Models & Neural Network
  • Functioning of Neurons Activation functions Gradient Descent, Stochastic Descent, ramp function, sigmoid function, Gaussian function
  • Introduction to deep neural network, Installing Libraries, Training the model, Introduction to OpenCV, Basics of Image Processing
  • Important Details

    Last Date for Registration:
    June 18th, 2020
    60 seats on first-cum-first-serve basis
    9 days, 40 hours
    Registration Fee
    Faculty Members/Research Scholars: Rs. 1500/-
    Persons from Industry: Rs. 2000/-
    Payment mode (Read the instruction for payment)
    Offline: Demand draft drawn in favour of "Dean SRIC IIT Roorkee" payable at Roorkee
    Online: Click on the link (
    How to Apply
    You can apply online by click here to fill-up the application form OR you can download offline form and email scanned copy to
    Contact Details
    Dr. Sanjeev Manhas (P.I., E&ICT Academy, ECE Dept, IITR)
    Dr. Partha Pratim Roy (Associate Professor, CSE Dept, IITR),
    Tel: +91-9717524177, +91-7078627392, +91-1332-286457

    A hard copy of the application form along with Demand Draft must reach to the following address: Mr. Prateek Sharma, EICT Academy, ECE Department, IIT Roorkee, Uttarakhand 247667.

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