One Week Short Course/FDP
on
Deep Learning and Machine Learning Applications using Python

(06th January-10th January, 2020)

Recognized by AICTE at par with QIP for recognition/credits

Venue: Shri Mata Vaishno Devi University, Jammu and Kashmir

Certificates to participants by E&ICT Academy IIT Roorkee


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.

  • 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:
  • 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.
  • Important Details

    Last Date for Registration:
    January 2nd, 2020
    Seats
    60 seats on first-cum-first-serve basis
    Duration
    5 days, 40 hours
    Registration Fee
    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
    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 (https://www.onlinesbi.com/prelogin/icollecthome.htm?corpID=365641)
    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 eict@iitr.ac.in
    Contact Details
    Dr. Sanjeev Manhas (P.I., E&ICT Academy, ECE Dept, IITR)
    Dr. Baij Nath Kaushik (Associate Professor, CSE Dept, SMVDU)
    eict@iitr.ac.in, eictiitr@gmail.com
    Tel: +91-9654482709, +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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