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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
要求
The participants must have programming experience (any language) and engineering background, but are not required to write any code during the course.
14 時間
お客様の声 (2)
The trainer's practical approach to the topic
Łukasz - Bury
コース - Advanced AUTOSAR RTE Development
Machine Translated
自動車業界の実際の AUTOSAR スペシャリストが使用する手法を表す知識の実際のプレゼンテーション。
Bartlomiej - BorgWarner Poland Sp. z o.o.
コース - Autosar Introduction – Technology Overview
Machine Translated
