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.
