| 词汇 | example_english_deep-learning |
| 释义 | Examples of deep learningThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. Deeplearning in musikdidaktik required a level of experience with trainees' musical instrument, which was usually developed during the first year at the institution. Deeplearning was enhanced by the sequencing and integration of musikdidaktik, principal instrument and practical teacher training. Hence, the possibilities for enhancing deeplearning in musikdidaktik also seemed embedded outside the subject, yet within the institutional culture itself. One important interest in this school is the relationship between deeplearning and valued language in academic disciplines. The preconditions for deeplearning that were identified as located to the trainees included the areas of trainee identity, learning orientations and musical experience. The position of the musikdidaktik subject within music teacher education as a whole was also perceived to influence the possibility of deeplearning. The preconditions that were perceived as significant for deeplearning included professors' attitudes to the trainees' preconditions and professors' approaches to the subject. The interviewees particularly emphasised the institution's disposition towards time allocation, and its organisation as being significant for the trainees' deeplearning. It was held that trainee preconditions for deeplearning in musikdidaktik were strongly related to trainees' musical maturity. Summing up, three issues that could be connected to the professors emerged as significant for trainees to achieve deeplearning. Summing up, three time-related issues emerged as significant for the trainees' deeplearning. The professor-content relation of the didaktik triangle was perceived to include preconditions for the trainees' deeplearning in several significant ways. Summing up, five issues that concerned the institutions' educational organisation emerged as significant for the trainees' deeplearning. Another, institutional precondition that seemed to influence trainees' deeplearning rather strongly were the relations between the musikdidaktik subject and practical teacher training. This made it impossible for trainees to achieve deeplearning in all subjects. Thirdly, possibilities for deeplearning were connected to the formation of identity and how early in their course trainees saw themselves as music teachers. I think now we have a better chance for deeplearning. Consequently, analysis began by reading through each interview as a whole and coding statements about preconditions for deeplearning regardless of the different interview questions. Professors as well as trainees located preconditions for deeplearning to relations within the didaktik triangle. Others stressed how the trainees' envisaged professional identity, whether explicit or implicit, influenced their capacity for deeplearning. Three perspectives in particular showed how aspects of identity could be connected to deeplearning. Further, deeplearning in musikdidaktik was experienced as directly related to how well the practical teacher training is planned and carried out. Summing up, three issues that concerned the trainees' preconditions emerged as significant for achieving deeplearning. Within this present article however we concentrate on significant preconditions for deeplearning to take place. On the question of the quality of learning, the trainees reported that seeing themselves as music teacher trainees would enhance deeplearning in musikdidaktik. This element of -exibility encourages more careful consideration of topics than might otherwise be the case and is the kind of approach that tends to promote deeplearning. As opposed to this, deeplearning is characterised by strategies for achieving meaningful learning, an intention to develop wider understanding and a positive attitude to learning. As status was perceived as a significant precondition for deeplearning, which affected the students' learning approaches in particular, this is an area worthy of further consideration. There is deeplearning and warm personal moments in this collection, which helps to illuminate a life of scholarship that continues to exert its wide influence. None of that detracts, however, from its courage, its clarity of expression, its deeplearning and its wide reference. It is suggested that deeplearning in musikdidaktik was regulated by how the teaching forms and the selected educational content gave space for trainees' learning styles, strategies and approaches. He is described as a man of deeplearning, sincere piety, refined manners, and great kindness of heart. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. It teaches us the value of developing questioning minds in cultivating deeplearning. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. The observation function is implemented with a generative deeplearning architecture. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Training of the network is accomplished in a greedy layer-wise manner, similar to other deeplearning networks. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Other applications include teaching computers how to recognize handwriting, speech, and traffic signs by using deeplearning which utilizes artificial neural networks. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Deeplearning is part of a broader family of machine learning methods based on learning representations of data. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. This is a common data set used for initial evaluations of deeplearning architectures. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Although only a few other publications of his survive, they have been said to reveal an acute intellect and deeplearning. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. His great historical and linguistic knowledge was complemented by equally deeplearning in archaeology, geography and law. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Unlike machine learning, deeplearning, or data mining, pattern detection is data agnostic, requiring only an ingestible data format to compute correlations in data. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. He researches primarily in machine learning and deeplearning. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Despite the power of deeplearning methods, they still lack much of the functionality needed for realizing this goal entirely. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Advances in hardware have also been an important enabling factor for the renewed interest of deeplearning. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Deeplearning helps to disentangle these abstractions and pick out which features are useful for learning. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Many deeplearning algorithms are framed as unsupervised learning problems. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Deeplearning adds the assumption that these factors are organized into multiple levels, corresponding to different levels of abstraction or composition. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. A man of deeplearning and originality, proud and a victim to the "odium theologicum". From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. This appears to have assisted his cause for winning the election, which also benefited from his reputation for deeplearning, gentleness, pomp, wisdom, and piety in policy. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Deeplearning algorithms in particular exploit this idea of hierarchical explanatory factors. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. This enables deeplearning that goes beyond studying for the next test. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. His works reflected a deeplearning based on the four temperaments theory and the outcome of a lengthy process of compiling the data obtained from his observation. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Deeplearning feedforward networks, such as convolutional neural networks, alternate convolutional layers and max-pooling layers, topped by several pure classification layers. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. This pedagogy is criticized for its failure to develop deeplearning in students. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. As of 2011, the state of the art in deeplearning feedforward networks alternates convolutional layers and max-pooling layers, topped by several pure classification layers. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Deeplearning algorithms discover multiple levels of representation, or a hierarchy of features, with higher-level, more abstract features defined in terms of (or generating) lower-level features. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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