TensorFlow: Large-Scale Machine Learning on …
ing systems into production across more than a dozen areas of computer science and other fields, including speech recogni-tion, computer vision, robotics, information retrieval, natural language processing, geographic information extraction, and computational drug discovery. This paper describes the Ten-
Download TensorFlow: Large-Scale Machine Learning on …
Information
Domain:
Source:
Link to this page:
Related documents
Information Theory - MIT
web.mit.eduThe paper provided a “blueprint for the digital age”1 Since the Bell Systems Technical Journal was targeted only towards communication engineers, mathematician Warren Weaver “had the feeling that this ought to reach a wider audience than (just) people in the field” recalls Betty Shannon2. He met with Shannon, and together, they
Communication-Efficient Learning of Deep Networks from ...
arxiv.orgH. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Aguera y Arcas¨ Google, Inc., 651 N 34th St., Seattle, WA 98103 USA Abstract Modern mobile devices have access to a wealth of data suitable for learning models, which in turn can greatly improve the user experience on the device. For example, language models can im-
The Effect of Blended Learning in Mathematics Course
www.ejmste.comThis paper provides a significant contribution in literature, regarding on-line learning’s use in secondary mathematics education. It highlights that blended learning pedagogy showed a significant positive effect on attitude toward mathematics. And the results indicated that male students and high-ability students were more motivated.