[Artificial Intelligence Technology Overview]
• Artificial Intelligence overview
• Artificial Intelligence algorithm types
• Application case of Artificial Intelligence
[Experiencing Artificial Intelligence]
• The structure of the training equipment
• Construction of a practice environment
• Classification algorithms experience
- Animal classification
- Fruit/vegetable classification
- Classification of flower types
- Rock/paper/scissors classification
- Defective/Good product classification
•Location Detection Algorithms Experience
- Dog and cat detection
- Human detection
- CCTV surveillance system
- Detection of the Autonomous Vehicle Front Object
[Artificial Intelligence Learning]
- Creating learning data
- Learning artificial intelligence using data
- Create a learning model
- Comparison of results according to learning volume
[Artificial Intelligence Utilization]
- Construction of a practical environment
- Device interworking using a classification algorithm
- Device interlocking using location detection algorithm
[Artificial Intelligence Algorithm Implementatio]
- Installing TensorFlow
- TensorFlow Basic Programming
- Tensor and Graph
- Placeholder and variables
- Implementation of the linear regression model
- Implementation of TensorFlow neural network
- TensorFlow learning model and tensor board utilization
- CNN
- Autoencoder
- GAN
- RNN
- Inception
- DQN
