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Online Course on Deep Learning & its Applications by IIT Roorkee [May 4-13]: Register by May 1: Expired


IIT Roorkee is organizing an Online Short Term Course/ FDP on Deep Learning & Its Applications from May 4 to 13, 2020. In order to ensure that the dissemination of knowledge does not stop due to the COVID-19 pandemic, the classes will be held online via ZOOM.

  • Introduction of deep learning and it’s real-life applications.
  • Understanding of shallow and deep architecture.
  • Understanding of neural network and sequential modeling.
  1. The program would help the participants to understand the key concepts behind deep learning.
  2. Participants would be able to learn how to build deep learning that is adaptable to any environment in real life.
  3. Hands-on experience in hyperparameter tuning and regularization practice.
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 the deep neural network, Installing Libraries, Training the model, Introduction to OpenCV, Basics of Image Processing.
Target Audience

Faculty/ Ph.D./ Research Scholars of engineering/technical institutions and persons from Govt. departments/labs and industry.

Registration Fees
  1. Faculty Members: Rs. 250/-
  2. Research Scholars: Rs. 500/-
  3. Persons from Industry: Rs. 1500/-

50 seats on the first-cum-first-serve basis.


Interested candidates can register online by clicking here. The last date to register is May 1, 2020.


Email ID: eict@iitr.ac.in

For further details, click here.



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