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Advanced Deep Learning – Foundation Module by LTU
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Link Type
Training url
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Target audience
Digital skills for the labour force.Digital technology / specialisation
Machine LearningDigital skill level
IntermediateGeographic Scope - Country
European UnionIndustry - Field of Education and Training
Generic programmes and qualifications not further definedTarget language
EnglishType of initiative
International initiative
Event setting
Target group
High Achievers Persons who have completed tertiary education (EQF 6) Persons who have completed tertiary education (EQF 7)Typology of training opportunities
Course
Learning activity
lab / simulation / practice coursework
Assessment type
OnlineTraining duration
Up to 4 weeks
Organization
AI Competence SwedenIs this course free
Yes
Is the certificate/credential free
Yes
Type of training record
Single offer
Training Start date
2024
Effort
Part time light
Credential offered
Learning activity
Self-paced course
Yes
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This course is customized with respect to manufacturing needs and requirements. This course offers a comprehensive introduction to deep learning, unraveling the mysteries behind powerful Convolutional Neural Networks (CNNs). is course is designed to equip you with the essential skills to excel in the dynamic field of computer vision. Turn your passion for technology into a transformative career!
The participants get to 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
Who can attend this course
- Technicians aspiring to enhance their expertise and understanding.
- Engineers with a curiosity for the most recent advancements in robotics.
- R&D and production managers prepared to guide their teams to unprecedented success.
- Technical managers committed to achieving operational excellence.
- Anyone driven by a passion for enhancing efficiency and fostering innovation in robotics.



