Deep learning for Industrial imaging

This course will teach you how to build convolutional neural networks. You will learn to design intelligent systems using deep learning for classification, annotation, and object recognition.

About the course

Lesson 1 - Image processing: Introduction of industrial imaging through big data and fundamentals of image processing techniques. 


Lesson 2 -  Deep learning with convolutional neural network: Overview of neural network as classifiers, introduction of convolutional neural network and Deep learning architecture.

Lesson 3 -  Deep learning tools: Implementation of Deep learning for Image classification and object recognition, e.g. using Theano and Keras.

What you will learn

  • Understand the fundamental theory of image processing.

  • Able to describe the fundamental needs, challenges and limitations of Big data with industrial imaging.

  • Able to describe and understand the basic principles of convolution neural network.

  • Demonstrate the ability to use tools for deep learning in industrial imaging

Course syllabus

Open course syllabus

Teacher

Mobyen Uddin Ahmed, Associate Professor

+46 21 10 73 69

mobyen.ahmed@mdh.se

Shahina Begum, Senior Lecturer

+46 21 10 31 91

shahina.begum@mdh.se