When using gensim to implement Doc2vce, which parameter represents the specific model selected?
Answer(s): D
In the gensim package, the parameter size of word2vce represents the dimension of the word vector.
Answer(s): A
In natural language processing, the most commonly used deep learning algorithm is CNN, because of its memory function?
Answer(s): B
When the parameter sg=1 of word2vce in the gensim package represents the selection of the CBOW algorithm.
Jieba framework is a toolkit for English character processing.
Post your Comments and Discuss Huawei H13-321 exam prep with other Community members:
Our website is free, but we have to fight against AI bots and content theft. We're sorry for the inconvenience caused by these security measures. You can access the rest of the H13-321 content, but please register or login to continue.