MATLAB Programming

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20 students

About the Program

This program has been initiated to enhance the knowledge from beginner to advance for the people who are interested in learning of advanced technologies like Machine Learning and neural networks. Other than learning, this program also provides an industrial exposure of working in this software and the toolbox with its relevant Algorithms. This program provides a comprehensive introduction to practical machine learning using MATLAB. In this hands-on program you will learn how to perform machine learning Algorithms using MATLAB. Also you will learn the fundamentals of deep learning and understand terms like “layers”, “networks”, and “loss” functions.

Technologies and Tools Covered

MATLAB Toolbox and Programming
Image Processing
Neural Network

LEARNING PATH

Basics of Image Processing & Matlab Toolboxes

This session will encourage complete image processing algorithms and learning what ML is, what can be done with ML, and how to start creating ML Algorithms. The combination of theory with practical exercises will be conduct.

SESSION	CLASS TOPICS
1	Overview of Image Processing
2	Image Processing Techniques and Concepts
3	Matlab Programming & GUI Creation
4	Working on filtering Techniques and Gray & HSV Conversions
5	GUI Development
6	Edge detection Algorithm Implementation
7	Image Classification Implementation

Machine Learning Concepts & Algorithms using Matlab

Introduction to the concepts of Machine Learning in MATLAB will be dealt with simple programs by the participants. This shall serve as the first step into the advanced concepts implementation in Deep Learning and AI by using MATLAB.

SESSION	CLASS TOPICS
1	Machine Learning Concepts and Methodologies
2	Neural Network Algorithms and the Working Principle
3	Mathematical Expression of Neural Network
4	Algorithms in Machine Learning & Limitation of Machine Learning
5	Character Recognition

Projects & Assignments

Practical 1 : Image Pre-processing & Applying Transformation

Practical 2 : Image Segmentation

Practical 3 : Edge Detection

Practical 4 : GUI Development

Practical 5 : Image Classification Implementation

Practical 6 : Neural Network Algorithms

Training Methodology

The Program is mix of Theory sessions, Quizzes, Hands on Sessions, Liver Interaction with Experts, Assignments and Practical Exercises. Maximum Impetus is given to Hands on Sessions so as to enable the participants with the maximum knowledge transfer and satisfaction. The ratio of the theory, practical sessions will be 30:70.

Program Advantage

· Code with Explanations

Learn everything about Image Processing and the Matlab toolboxes, with a well-structured curriculum & detailed explanation with code.

· Assignments

Work on various assignments which will be graded by our Trainer.

· Projects

Solve real world problems as part of projects and receive valuable feedback from our trainer.

Upon Successful Completion of the Program

Upon completion of the program, the participant will have an in-depth insight into the Image Processing, Algorithms and Machine Learning Concepts. The participants will be able to program the controller and develop basic / complex applications on his own, thus making the objective of the training program as desired.

Participants also will have access to our TECHNICAL FORUM, thus getting their doubts clarified even after the session is complete. Certificates will be provided upon request.

Curriculum is empty