Dnns is an English word of 4 letters. Below you'll find 2 example sentences showing how it's used in practice.
Dnns meaning
plural of DNN
Using Dnns
- The main meaning on this page is: plural of DNN
Context around Dnns
- Average sentence length in these examples: 22.5 words
- Position in the sentence: 0 start, 2 middle, 0 end
- Sentence types: 2 statements, 0 questions, 0 exclamations
Corpus analysis for Dnns
- In this selection, "dnns" usually appears in the middle of the sentence. The average example has 22.5 words, and this corpus slice is mostly made up of statements.
- Around the word, pretrained, networks and sometimes stand out and add context to how "dnns" is used.
- Recognizable usage signals include its pretrained dnns and training and neural networks dnns sometimes people. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "dnns" sits close to words such as aabc, aacr and aacsb, which helps place it inside the broader word index.
Example types with dnns
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Nvidia is now providing access to its pretrained DNNs and training processes on the NGC container registry. (17 words)
In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks. (28 words)
In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks. (28 words)
Nvidia is now providing access to its pretrained DNNs and training processes on the NGC container registry. (17 words)
Example sentences (2)
Nvidia is now providing access to its pretrained DNNs and training processes on the NGC container registry.
In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.