Last Date for Registration: January 2nd, 2020
Eligibility: Faculty/PhD/Research Scholars of engineering/technical institutions and
persons from Govt. departments/labs and industry.
Experts from Academia: Dr. Ashish Ghosh (Prof. & Head Machine Intelligence Unit, ISI Kolkata, India), Dr. Sreedhar (Associate Professor, BV Raju Institute of
Technology, JNTU Hyderabad, India)
Principal Investigator (E&ICT Academy IIT Roorkee): Dr. Sanjeev Manhas
Why DP & ML?
In the recent years, machine learning has emerged as powerful techniques for solving problem involve huge loads of data.
Machine learning provides algorithms and tools that are useful for solving classification and regression tasks in the
supervised learning problems, clustering and frequent pattern mining tasks in unsupervised learning problems,
tasks of controlling the behavior of machines in reinforcement learning problems. Deep learning (also known as deep structured learning or hierarchical learning)
is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised.
Deep learning is a class of machine learning algorithms that use multiple layers to progressively extract higher level features from raw input.
Objective of the Course
The proposed FDP provides an opportunity to discuss and address the experimental, theoretical work and methods in solving problems.
Exchange and cross-fertilize their ideas, in the fields of Deep Learning and Machine Learning.
Working in soft computing, machine learning, deep learning and artificial intelligence.
Practical Session using Python.
Benefits and Outcomes of the Course
The program would help the participants
to understand the key concepts behind deep learning.
Hands-on experience in machine learning and deep learning applications.
Learn the various aspects of data handling
and how information can be extracted from data.
Carry out predictions-how to predict, how to analyses predicted values, discuss the importance of variables in a dataset.
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
Regression Algorithms, Unsupervised Algorithms (Clustering and Frequent Pattern Mining Algorithms).
Deep Learning, MP-Neuron, Perceptron Network, Feedforward, Backpropagation.
Sigmoid Neurons, Gradient Descent, Nesterov Accelerated GD, Stochastic GD.
Restricted Boltzman Machine, Deep Belief Network, RNN, LSTM, BPTT.
Social network filtering, machine translation, bioinformatics, drug design, medical image analysis.
Last Date for Registration:
January 2nd, 2020
60 seats on first-cum-first-serve basis
5 days, 40 hours
Faculty Members: Rs. 500/-
Research Scholars: Rs. 1,000/-
Persons from Industry: Rs. 1,000/-
Food and Accommodation
Food and Accommodation will be available on self paid basis. No travel allowance will be provided.
For more details, please contact: +91-9654482709
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 firstname.lastname@example.org
Dr. Sanjeev Manhas (P.I., E&ICT Academy, ECE Dept, IITR)
Dr. Baij Nath Kaushik (Associate Professor, CSE Dept, SMVDU)
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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