Expert Guest Lecture On ANN Implementation using Python By CSE

Aim & Objective:

The major objective of the Expert Lecture is presentation towards the most demanding technology Artificial Neural Networks problems using python where students need to work on problems and its possible solutions. The Lecture was in relation to change requirement where how to work on various datasets available in order to findout the accuracy for the given problem using various techniques related to ANN. Therefore, participants can learn a broad range of current used Tools /Techniques with research motivations, contribution towards paper publications and value additions in the field of various real time applications related to like Healthcare, E-Commerce, Banking Sector etc, The Overall Expert talk made the understand of how to work with datasets using various ANN Techniques in order to get Accuracy as required using Python.

Description

This specific Expert Talk gives the overall basic Idea of ANN implementation using Python in all various datasets where the students can able to solve the real time problems by using techniques. The speaker also demonstrated the hands on experience on some real time examples how they able to change the model and work with the help of specific algorithms with the idea of Artificial Intelligence concepts followed by various examples which given a broad understanding of concepts like Working with Dataset of Sentiment Analysis application, Handwriting recognition Dataset etc.

Benefits in terms of Learning:

Research Motivations, hands on experience on ANN techniques using python .

Title of Event                         : ANN Implementation using Python

Date of Event                         : 01/05/2021   (Time: 10.30 AM- 12.30PM)

Total No. of Participants     : 230+ (Registered)

Student Participants             : Yes

Guest Speaker                       : Dr.Pradeep Kumar, Associate Professor, MANUU, Hyd.

Venue                                     : CMR Engineering College (Virtual Mode)

Coordinator                           : Mr. Mrutyunjaya S Yalawar

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