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 Zurich or in NobleProg corporate training centers in Zurich.
NobleProg -- Your Local Training Provider
Zurich
Zürichbergstrasse 7, Zurich, Switzerland, 8005
Overview
Our training facilities are located at Zürichbergstrasse 7 in Zurich. Our spacious cl...
Overview
Our training facilities are located at Zürichbergstrasse 7 in Zurich. Our spacious classrooms are located near the university campus and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities can be easily reached via the Bundesstrasse 17. If you arrive by public transport, you can reach the training rooms via the tram stop Kantonsschule.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
There are numerous restaurants and hotels within walking distance of the old town.
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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