コースのコード
aiauto
期間
14 時間: 休憩を含む通常に 2 日間がかかります
要求
The participants must have programming experience (any language) and engineering background, but are not required to write any code during the course.
概要
このコースでは、 Automotive産業のAI( Machine LearningとDeep Learning重視)について説明します。簡単なオートメーション、画像認識から自律的な意思決定まで、自動車のさまざまな状況で(潜在的に)使用できるテクノロジを判断するのに役立ちます。
Machine Translated
コース概要
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
お客様の声
関連カテゴリー
関連コース
コースプロモーション
03/25/2020 - 09:30
Tokyo Shinjuku Park Tower
04/15/2020 - 09:30
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04/21/2020 - 09:30
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05/21/2020 - 09:30
Tokyo Shinjuku Park Tower
07/07/2020 - 09:30
Tokyo Shinjuku Park Tower
一部のお客様
















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