Last Date for Registration: May 01st, 2020
Eligibility: Faculty/PhD/Research Scholars of engineering/technical institutions and
persons from Govt. departments/labs and industry.
Experts from Industry: Mr. Bipul Kumar Shahi from Diginique Techlabs
Experts from Academia: Prof. R. Balasubramanian and Prof. Partha Pratim Roy from IIT Roorkee
Principal Investigator (E&ICT Academy IIT Roorkee): Prof. Sanjeev Manhas
Local Coordinator (E&ICT Academy IIT Roorkee): Prof. Partha Pratim Roy
Why Deep Learning AI ?
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.
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.
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
Last Date for Registration:
May 01st, 2020
50 seats on first-cum-first-serve basis
8 days, 40 hours
Faculty Members: Rs. 250/-
Research Scholars: Rs. 500/-
Persons from Industry: Rs. 1500/-
Offline: Demand draft drawn in favour of "Dean SRIC IIT Roorkee" payable at Roorkee
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 email@example.com
Prof. Sanjeev Manhas (P.I., E&ICT Academy, ECE Dept, IITR)
Prof. Partha Pratim Roy(CSE Dept, IITR)
Prof. Dharmender Saini (Principal, BVCOE)
Dr. Jolly Parikh (Asst. Prof., ECE Deptt. BVCOE)
Dr. Yugnanda (Asso. Prof., ECE Deptt. BVCOE)
Tel:- +91-9990007020 +91-9717524177, +91-1332-286457
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