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Two Days Workshop on Practical Approach Towards Deep Learning

About Deep Learning

Deep learning is a fastest – growing field of Artificial Intelligence concerned with the study and design of computer algorithms for learning good representations of data, at multiple levels of abstraction. It features the development of complex, multi-layered algorithms based on Deep Neural Networks (DNN) to achieve critical breakthroughs in object recognition, facial recognition, and image/voice/speech recognition, as well as machine translation, Big Data analytics and natural language processing. The transformative impact of Deep Learning technology affects every industry, from security and social media to retail, finance and IoT (Internet of Things).

Theme

Overall theme of this workshop is to create awareness among faculty members about recent trends in research and also to create foundation of deep learning algorithms using various tools, where they can apply deep learning to solve real world problems. The proposed FDP introduces fundamental concepts of Machine Learning and Deep Learning. It covers an overview of machine learning and Deep Learning algorithms and their applications. The training comprises of a series of lectures and practical exercises. The participants obtain deep insights of machine learning, which in turn helps them to apply it in practice or as a foundation to a deeper study in this area. The duration of this workshop will be two days, with three sessions of two hour each.

Experts from Academia and Industry will be invited for delivering the lectures. Hands on experience and practical on basic and advanced topics will be conducted.

Course Content

  • Machine Learning: Introduction
  • Supervised Vs Unsupervised Learning
  • Linear Regression, Decision Trees, KNN
  • Bayesian Networks, SVM
  • Clustering: K Means
  • Introduction to Deep Learning
  • Feed Forward Neural Networks
  • Back Propagation, Computing Gradients
  • Principal Component Analysis
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Difference Between Statistical modeling, Machine learning and Deep Learning
  • Hands on session using R, Python and other tools.

Last Date of Online Submission: 8 July 2019

Scanned Registration Form and Demand Draft needs to be sent on:

Email Id:  fdp.cse@bbsbec.ac.in

Registration Fees

Academicians and Research Scholars: Rs.500

IEI Corporate Members                       : Rs.250

BBSBEC Faculty:                                     : Rs.250

Students:                                                 : Rs.200

Students (IEI Chapter Members)       : Rs 100

Demand Draft in favour of Principal, BBSBEC, Fatehgarh Sahib payable at Fatehgarh Sahib

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