Sentence examples for deep learning models for from inspiring English sources

Currently, I work on analyzing and improving deep learning models for sequence generation.

At Google, his primary research interest is developing fast, powerful, and scalable deep learning models for information retrieval, question answering, and other language understanding tasks.

We comprehensively diagnose the training and evaluating procedures of the deep learning models for age estimation on two of the largest datasets.

The deployment of deep learning models for big data reduction is potential research direction that can be pursued in future.

The data scientists, on the other hand, seem to spend a lot of time improving machine learning and deep learning models for their domains.

In addition to the problem of handling massive volumes of data, large-scale Deep Learning models for Big Data Analytics also have to contend with other Big Data problems, such as domain adaptation (see next section) and streaming data.

This shows the potential of the deep learning model for the application of modulation classification.

A fast deep learning model for textual relevance in biomedical information retrieval. in Proceedings of the 27th International Conference on World Wide Web 77 86 (ACM, 2018).

Chopra et al. [87] propose a new Deep Learning model for domain adoption.

Many of the deep learning models investigated for materials degradation have incorporated traditional hard-coded algorithms to filter and transform input data this approach does not fully leverage the power of deep learning to learn its own representations, and limits the ability to deploy models to different problems.

The deep learning models we mentioned are trained for specific image recognition tasks (such as nodule detection on chest CT or hemorrhage on brain MRI).