Among the following statements about machine learning, the correct one is()
According to different learning theories, machine learning models can be divided into supervised learning, semi-supervised learning, unsupervised learning, and reinforcement learning.
B. In practical applications, machine learning is mainly based on unsupervised learning or semi-supervised learning.
C. The supervision of supervised learning is reflected in the fact that all the data to be processed by the machine must be manually defined the corresponding category, and then the classification algorithm is trained, and finally the usable classifier is obtained.
D. Supervised learning data sets are labeled, unsupervised compared to supervised, there is no training process, but directly use the data for modeling and analysis
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Among the following options are characteristics of reinforcement learning ()
A. No supervision
B. The feedback is not timely and delayed
C. Data serialization, data is related to data
D. Strong versatility and promotion
The following options are common methods of transfer learning()
A. Sample-based transfer learning
B. Feature-based transfer learning
C. Model-based transfer learning
D. Relationship-based transfer learning
Among the following statements about machine vision systems, the correct one is()
A. The machine vision system mainly includes four parts: optical system, image processing system, actuator and human-machine interface
B. Reliable execution mechanism and humanized human-machine interface are the basic conditions for visual inspection
C. Developing stable and reliable image processing software is the core task of visual inspection
D. It is possible to select a suitable optical system, and collecting images suitable for processing is the key to achieving the final function
Reasoning can be divided into( )according to the thinking direction of the reasoning process()
Analogical reasoning
B. Deductive reasoning
C. Hypothesis reasoning
D. Inductive reasoning
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