Online or onsite, instructor-led live Deeplearning4j training courses demonstrate through interactive discussion and hands-on practice the fundamentals and advanced topics of Deeplearning4j.
Deeplearning4j training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Deeplearning4j training can be carried out locally on customer premises in Cebu or in NobleProg corporate training centers in Cebu.
NobleProg -- Your Local Training Provider
Cebu, Apple One Equicom Tower
11 Floor, Apple One - Equicom , Cebu Ciry, Philippines, 6000
The AppleOne Equicom Tower business center is in a mixed-use development in Cebu City. AppleOne Tower is a 17-Floor building ...
The AppleOne Equicom Tower business center is in a mixed-use development in Cebu City. AppleOne Tower is a 17-Floor building with residential units located at the top of the building, commercial office units and 4 levels of parking spaces. It is a PEZA accredited building catering to many BPO and KPO companies. The business centre is conveniently located with good road links and close to Mactan International airport and is located close to major shopping malls and entertainment facilities. Major corporates based in Cebu City include JP Morgan Chase, NEC, Olympus, Taiyo yuden and Timex.
Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments on distributed GPUs and CPUs.
Word2Vec is a method of computing vector representations of words introduced by a team of researchers at Google led by Tomas Mikolov.
Audience
This course is directed at researchers, engineers and developers seeking to utilize Deeplearning4J to construct Word2Vec models.
Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments on distributed GPUs and CPUs.
Audience
This course is directed at engineers and developers seeking to utilize Deeplearning4j in their projects.
After this course delegates will be able to:
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