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
. 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 |
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 |
