Deep Learning for Industrial Imaging

Utbildningsfakta

Kod: DVA476

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 this 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 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

Behörighet

90 credits of which at least 60 credits in Computer Science or equivalent, including at least 15 credits in programming. In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Deep Learning for Industrial Imaging

  Mälardalen University

  Startdatum: 13 oktober 2025

  Slutdatum: 30 november 2025

  Studietakt: 25 %