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 Hannover or in NobleProg corporate training centers in Hannover.
Our training facilities are located at Hildesheimer Strasse 265-267 in Hanover. Our sp...
Overview
Our training facilities are located at Hildesheimer Strasse 265-267 in Hanover. Our spacious training rooms are located near the Hannover Exhibition Centre and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are not far from the B6, the feeder road to the A7 motorway and the A2 motorway can also be reached quickly. The Peiner Strasse stop for public transport is within walking distance.
Parking
Around our training rooms you will find parking spaces which are not subject to charges.
Local Services
There are several restaurants in the vicinity of our training rooms.
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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