Examples of using Are learned in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Specific traditional occupations that require a high degree of discipline, technical and spiritual understanding, such as healing, carpentry and iron smithing, are learned through apprenticeship.
Interview skills are learned and there are no second chances to make a first impression.
Others are learned behavior and social pressure- covering your nose and mouth when you sneeze is a good example.
Weights are the values that are learned during the process of model training, and not all nodes have weights.
The assumptions and beliefs are learned responses to a group's problems of survival in its external environment and its problems of internal integration.
Once new styles of thinking are learned, and lifestyle changes made, over-dreaming naturally ceases.
But even if the rules are learned, creativity cannot be manifested in the absence of a field that recognizes and legitimizes the novel contributions.
Basic skills are learned for working with photo paper, enlargers, chemical processing, negatives, and final positive prints.
These attributes are learned through practice and achievement, and with the help of the teacher.
Most motor skills are learned in early childhood, although disabilities can affect motor skills development.
Like dance, the movements are learned and follow one after the other.
Interview skills are learned, and there are no second chances to make a great first impression.
Each unit is like a mini-state machine where the gates of the units have weights that are learned during the training procedure.
I am not a great fan of most self-help books, but new ideas and ways of handling things will be helpful, however they are learned.
The models are black-boxes that are learned from as many training instances that you can find.
In machine learning(see below) on the other hand, the decisions are learned.
Most layers, like layer_dense, have parameters that are learned during training.
Real-world problems and opportunities with software-intensive systems are explored, and methods to evaluate, adapt and take advantage of emerging technologies are learned.
Very few natural languages, those that are learned and spoken at home, remain sufficiently unchanged after a thousand years to be considered the"same language.".