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3 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 & Algorithms

This session will encourage 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 Machine Learning
2 Image Processing 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

 

  1. 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

 

 Practical Assignments

Practical 1: Image Preprocessing & 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.

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Internship on Image Processing using MATLAB – IETE Certification
Course Preview
  • Price
    ₹2,000.00
  • Instructor Pantech eLearning
  • Duration 30 Hrs
  • Certificate Provider IETE & Pantech
  • Enrolled 3 student
  • Access Lifetime

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