Zero to HERO: Image Processing Techniques - Part 2

Zero to HERO: Image Processing Techniques is a beginner-friendly two part series by Vivek Raja P S, Data Scientist @ NexStem & AWS Machine Learning HERO. In this series, we will learn the basic concepts of Image Processing and then work on building highly efficient Image Processing Algorithms in Tensorflow.

Dec 11, 2021, 1:30 – 2:30 PM

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About this event

Ever wanted to master Image Processing techniques from scratch! This session is for you.

Zero to HERO: Image Processing Techniques is a beginner-friendly two part series by Vivek Raja P S, Data Scientist @ NexStem & AWS Machine Learning HERO. In this series, we will learn the basic concepts of Image Processing and then work on building highly efficient Image Processing Algorithms in Tensorflow.

Session Dates:

Zero to HERO: Image Processing Techniques -Part 1:

Date & Time: Dec 5, 2021, 7:00pm onwards

Zero to HERO: Image Processing Techniques Part 2:

Date & Time: Dec 11, 2021, 7:00pm onwards

The Agenda of the series (Part 1 & Part 2):

What is Image Processing and why it is important?

What all the challenges we face while implementing the same?

Understanding how to work in Image Data Analytics Problem

Machine Learning Steps

Finding your Data source

Collecting & Organizing the dataset

Loading your dataset in memory efficient manner

Standardizing the dataset

Creating a simple CNN model to understand Image Classification

Analysing why simple CNN model wasn’t able to give better result

Understanding different layers in CNN

Optimizer and Loss Function Algorithms

Creating a CNN model without Pre-processing

Understand why CNN model overfitted on data

Exploring ways to prevent overfitting

Pre-processing Techniques – Morphological and Augmentation

Understanding how Dropout regularization works

Creating and training CNN model

Visualizing and analyzing the results

Understanding Transfer Learning Approach

Why Transfer Learning is best for quick and decent results?

How to fine-tune Transfer Learning model?

Comparing Results

Pre-requisites:

A curious mind to learn new technology and concept

Basic understanding of Machine Learning (but not compulsory)

About the Speaker:

Vivek Raja works as Data Scientist at NexStem | CortexBCI Inc. where he develops machine learning enabled brain-computer interface hardware and software platforms, and architects cloud solutions. He is an AWS Machine Learning Hero which is the highest recognition in the AWS Community for the subject matter experts. Vivek pursued Bachelors of Engineering in Computer Science in Mepco Schlenk Engineering College, Tamil Nadu where he graduated in 2020 as Best Outgoing Student of his batch.His core research areas include machine learning, computer vision, NLP, and IoT, where he has published over 5 research papers in international conferences and filed a patent for evaluation.

Vivek is an organizer at Azure Developer Community, India and an active speaker, mentor sharing his learnings with various other developer groups such as AWS User Group India, TensorFlow User Group, and Women in Data Science with technical talks, blogs ,podcasts, and open source projects.

Vivek is 16 times multi-cloud certified as Microsoft Azure Data Scientist, AI Engineer, Data Engineer, Developer Associate and Oracle Solutions Architect Professional. He is also 20 times international and national level hackathon winner, and has participated in over 60 hackathons in the last three years.

Linkedin: https://linkedin.com/in/Vivek0712

Twitter: https://twitter.com/VivekRaja007

GitHub: https://github.com/Vivek0712

Speaker

  • Vivek Raja P S

Host

  • Usha Rengaraju

    Infinite Sum Modelling

    Principal Data Scientist

Partners

Jarvislabs.ai logo

Jarvislabs.ai

JetBrains logo

JetBrains

Organizer

  • Usha Rengaraju

    Exa Protocol

    GDG Organizer

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