Examples of using Distributed learning in English and their translations into Chinese
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Advanced Distributed Learning.
The US Department of Defense Advanced Distributed Learning ADL.
(2)Advanced Distributed Learning Department.
The downside is that TensorFlow has no symbolic loop anddoes not support distributed learning.
The CANcer Distributed Learning Environment( CANDLE).
This is an example of distributed learning.
More specific research interests include General Processing Tree(GPT) models, categorical data analysis, knowledge representation, computerized tutoring,and advanced distributed learning.
This is an example of distributed learning.
It has reproduced and distributed learning materials to raise awareness in communities.
Students may complete up to ten units ofelectives that meet program requirements in an online/distributed learning format.
The tool also supports distributed learning of built-in data readers.
Cancer research: the DOE and the National Cancer Instituteare working on a program called CANcer Distributed Learning Environment(CANDLE).
The University of Cumbria has a distributed learning network throughout Cumbria.
Examples of such self-policing communities include Slashdot, The Pool,Open Theory, and the Distributed Learning Project.
United Nations police also organized educational events and distributed learning materials to children on the subject of traffic safety.
Advances in neural network techniques for semi-supervised andunsupervised training like generative adversarial networks(GANs), distributed learning, and privacy protecting.
The fact that robots of thefuture will be capable of shared and distributed learning has profound implications and is scaring some, while exciting others.
A number of new terms have made their appearance,such as cooperative learning, distributed learning and practice societies, so as to shift the emphasis to more social practices.
In addition, actions are being undertaken to train teachers, by providing support to universities and research in this field, as well as acquiring,publishing and distributing learning material.
Distributed Deep Learning.
Distributed Machine Learning Toolkit.
The Distributed Machine Learning Toolkit.
Distributed Machine Learning Common DMLC.
On June 8, 2017, the age of distributed deep learning began.
Apache Spark creators set out to standardize distributed machine learning training, execution, and deployment.
Angel is a high-performance distributed machine learning platform based on the philosophy of Parameter Server.
He is an internationally recognized expert in big data,cloud computing and distributed machine learning;
Yahoo! has also integratedcaffe with Apache Spark to create CaffeOnSpark, a distributed deep learning framework.
The company claims it well-suited for training distributed deep learning networks and can process huge data without losing its pace.
Microsoft creates the Distributed Machine Learning Toolkit, which enables the efficient distribution of machine learning problems across multiple computers.