Course Code
aiauto
Duration
14 hours (usually 2 days including breaks)
Requirements
The participants must have programming experience (any language) and engineering background, but are not required to write any code during the course.
Overview
Automotive 산업에서의 AI ( Machine Learning 및 Deep Learning )에 대해 Deep Learning 합니다. 단순한 자동화에서 이미지 인식, 자율적 의사 결정에 이르기까지 자동차의 여러 상황에서 어떤 기술이 (잠재적으로) 사용될 수 있는지 판단하는 데 도움이됩니다.
Machine Translated
Course Outline
Current state of the technology
- What is used
- What may be potentially used
Rules based AI
- Simplifying decision
Machine Learning
- Classification
- Clustering
- Neural Networks
- Types of Neural Networks
- Presentation of working examples and discussion
Deep Learning
- Basic vocabulary
- When to use Deep Learning, when not to
- Estimating computational resources and cost
- Very short theoretical background to Deep Neural Networks
Deep Learning in practice (mainly using TensorFlow)
- Preparing Data
- Choosing loss function
- Choosing appropriate type on neural network
- Accuracy vs speed and resources
- Training neural network
- Measuring efficiency and error
Sample usage
- Anomaly detection
- Image recognition
- ADAS
회원 평가
Related Categories
Related Courses
코스 프로모션
02/03/2020 - 09:30
JUNGANG-DONG CENTRE
02/17/2020 - 09:30
JUNGANG-DONG CENTRE
02/27/2020 - 09:30
스페이시즈 그랑 서울 업무공간
04/06/2020 - 09:30
센터원센터
06/15/2020 - 09:30
JUNGANG-DONG CENTRE
고객 회사


























.png)
_ireland.gif)








.jpg)












is growing fast!
We are looking to expand our presence in South Korea!
As a Business Development Manager you will:
- expand business in South Korea
- recruit local talent (sales, agents, trainers, consultants)
- recruit local trainers and consultants
We offer:
- Artificial Intelligence and Big Data systems to support your local operation
- high-tech automation
- continuously upgraded course catalogue and content
- good fun in international team
If you are interested in running a high-tech, high-quality training and consulting business.
Apply now!

