新資格製作中！deep learning exam

Artificial Intelligence (AI) Definition Artificial Intelligence Definition
Trends in Artificial Intelligence Search and Inference/Knowledge Representation/Machine Learning/Deep Learning
Problems in the Field of Artificial Intelligence Toy Problem/Frame Problem/Strong and Weak AI/Bodily
Symbol Grounding Problem/Feature Design
Turing test/Singularity
Specific methods of machine learning Typical methods (supervised learning, unsupervised learning, reinforcement learning)
Data handling/evaluation metrics
Overview of Deep Learning Neural Networks and Deep Learning
Problems in Existing Neural Networks
Deep Learning Approaches
CPUs and GPUs/Data Volume in Deep Learning
Activation Functions/Optimizing the Learning Rate/Further Techniques
Deep Learning Techniques CNN/Deep Generative Models/Applications in Image Recognition/Speech Processing and Natural Language Processing
RNN/Deep Reinforcement Learning/Robotics/Multimodal/Model Interpretability and its Correspondence
Toward social implementation of deep learning AI project planning/data collection
Processing, analysis, and learning/implementation, operation, and evaluation
Law (personal information protection law, copyright law, unfair competition prevention law, patent law)
Contracts, ethics
Current discussions (privacy, bias, transparency, accountability, ELSI, XAI, deep fakes, diversity)

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