Full course description
Join us on an exciting journey into the world of computer vision with our introductory course on Deep Learning! This course offers a comprehensive introduction to deep learning, unraveling the mysteries behind powerful Convolutional Neural Networks (CNNs). This course is designed to equip you with the essential skills to excel in the dynamic field of computer vision. Join us and turn your passion for technology into a transformative career!
Target audience: Technicians, Engineers, R&D and production managers, Technical managers, Anyone driven by a passion for enhancing efficiency and fostering innovation in robotics.
Pre-requisite knowledge: Upper secondary school, Basic mathematics, Linear Algebra
What you will learn:
- An introduction to what deep learning is and when to use it
- Gain an understanding on components related to a Convolutional Neural Network (CNN)
- Learn about the different categories of datasets in deep learning: training, validation, test
What can you expect:
- A course tailored to the specific needs and demands on baseline components of deep learning for the industry
- Essential knowledge of key concepts, with an in-depth exploration the main concepts of deep learning
How the course will be conducted:
- This is a self-pace course in English
- Approximately 15 hours of training including lectures and self-study
- Participants will receive a certificate upon completion of the course (a minimal quiz)
Study time in hours:
- Recommended: 2 weeks, 7.5h per week at your own pace
Credentials: |
Certificate of completion |
Start date: |
14 October 2024 |
Study time in hours: |
2 weeks, 7.5h per week at your own pace |
Course format: |
Online (recorded) |
Language: |
English |
Price: |
Free |