Internship on Deep Learning using Matlab – NITK STEP

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Designed suitably with inputs from Academic personnel’s, this specific internship program on deep learning using CNN and Matlab is floated with an Industrial point of view. This training program is designed in a way with a mix of 80% Hands on Sessions & subsequent theory sessions to cater to the industrial requirements and make the candidates industry ready.

Internship Outcomes:

Upon successful completion of the Internship program, the candidate will

Have Adept knowledge of Image Processing and Deep Learning Concepts
Be able to acquire vast Matlab Programming
Have definite knowledge on Matlab toolboxes and the image processing techniques
Gain a deep thrust to the Deep Learning Algorithms – Program specific & from the coding point
Have a better understanding on the Interfacing of Peripherals & Sensors to the Controllers
Work on the Projects – Acquire Practical Knowledge and Industry Demands

What’s more? The Candidate will be Industry Ready!

Week 1: Matlab Programming (Hands on Session)

Overview of Matlab and the toolboxes
Entering commands and creating variables
Visualizing Vector & Matrix Data
Working With Data Files & Types
Automating Commands And Scripts
Programming Branching & Loops
Importing , Exporting and Visualizing images
Image Transformations
Type Conversions
Contrast Adjustment and Zooming & Pixel Info Analysis

Week 2: Image Processing and Algorithms

Week 3: Neural Networks using Matlab

Neural Network Concepts
Mathematical Expression of Neural Network
Algorithms in Machine Learning
Limitation of Machine Learning
Introduction and difference between Supervised and Unsupervised Learning concepts in Machine Learning
Unsupervised Learning Algorithm-Clustering concepts, Supervised Learning Methods-Linear Regression, Logistic Regression
Difference between Machine Learning and Deep Learning

Week 4: CNN Implementation using Matlab

Layers in Deep Learning, Concepts of weights, bias, and activation function
Sigmoid Function, Cost Function Formation
NN Tool, Linear Regression App Tool, Deep Learning Toolbox
CNN Architecture
Applications of Deep Learning
Assignment 1: Image Segmentation
Assignment 2 : Edge Detection
Assignment 3: GUI Development
Assignment 4: Image Classification.
Project 1: Character Recognition.
Project 2: Disease Classification.

Industrial Internship Pedagogy

The Industrial Internship 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.

Industry Internship Benefits