Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Thorat, Nikhil"'
Autor:
Smilkov, Daniel, Thorat, Nikhil, Assogba, Yannick, Yuan, Ann, Kreeger, Nick, Yu, Ping, Zhang, Kangyi, Cai, Shanqing, Nielsen, Eric, Soergel, David, Bileschi, Stan, Terry, Michael, Nicholson, Charles, Gupta, Sandeep N., Sirajuddin, Sarah, Sculley, D., Monga, Rajat, Corrado, Greg, Viégas, Fernanda B., Wattenberg, Martin
TensorFlow.js is a library for building and executing machine learning algorithms in JavaScript. TensorFlow.js models run in a web browser and in the Node.js environment. The library is part of the TensorFlow ecosystem, providing a set of APIs that a
Externí odkaz:
http://arxiv.org/abs/1901.05350
Recent success in deep learning has generated immense interest among practitioners and students, inspiring many to learn about this new technology. While visual and interactive approaches have been successfully developed to help people more easily le
Externí odkaz:
http://arxiv.org/abs/1809.01587
Explaining the output of a deep network remains a challenge. In the case of an image classifier, one type of explanation is to identify pixels that strongly influence the final decision. A starting point for this strategy is the gradient of the class
Externí odkaz:
http://arxiv.org/abs/1706.03825
Autor:
Smilkov, Daniel, Thorat, Nikhil, Nicholson, Charles, Reif, Emily, Viégas, Fernanda B., Wattenberg, Martin
Embeddings are ubiquitous in machine learning, appearing in recommender systems, NLP, and many other applications. Researchers and developers often need to explore the properties of a specific embedding, and one way to analyze embeddings is to visual
Externí odkaz:
http://arxiv.org/abs/1611.05469
Autor:
Johnson, Melvin, Schuster, Mike, Le, Quoc V., Krikun, Maxim, Wu, Yonghui, Chen, Zhifeng, Thorat, Nikhil, Viégas, Fernanda, Wattenberg, Martin, Corrado, Greg, Hughes, Macduff, Dean, Jeffrey
We propose a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages. Our solution requires no change in the model architecture from our base system but instead introduces an artificial token at
Externí odkaz:
http://arxiv.org/abs/1611.04558
Autor:
Thorat, Nikhil, Bhambhani, Dhiraj, Bhambhani, Suresh, Bhambhani, Garima, Pandya, Poonam, Tandon, Riddhi
Publikováno v:
Journal of Dental Research & Review; Oct-Dec2023, Vol. 10 Issue 4, p238-242, 5p
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 10:283-290
The bioactive components of lemongrass powder have been evaluated using GC-MS. The GC-MS analysis was performed on GC-MS comprising an automatic liquid sampler and agilent gas chromatograph interfaced to mass spectrometer (GC-MS). Interpretation of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56a4e3f661d5e30dd38e83805ba9a1fe
https://doi.org/10.20546/ijcmas.2021.1010.034
https://doi.org/10.20546/ijcmas.2021.1010.034
Publikováno v:
Journal of Public Health & Primary Care; Sep-Dec2023, Vol. 4 Issue 3, p168-171, 4p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Cardell Lena Elizabeth, Schoen Timothy R, Soriano Christine, Tanguay Donald O, David Bau, Carr Francis, Thorat Nikhil Shivaji, Denehy Timothy E
Publikováno v:
The Lens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0c4073823e29313ae464862e51ef8116
https://www.lens.org/148-933-509-560-556
https://www.lens.org/148-933-509-560-556