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 trainings in Paris can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Paris, Opera Bourse
Nobleprog Paris, 15 Rue Taitbout, Paris, france, 75009
At the corner of Boulevard Haussmann and Rue Taitbout, the Multiburo Opera-Bourse business center is located in the heart ...
At the corner of Boulevard Haussmann and Rue Taitbout, the Multiburo Opera-Bourse business center is located in the heart of the largest financial center in Paris, but also within walking distance of the department stores. This area between the Paris Opera and the Bourse is always very attractive due to its cultural aspects and its economic dynamism. The establishment of seats of international groups (in the financial and insurance sector) shows the renown of the places
Access:
Train station
10 min by foot far from Saint-Lazare
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:
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.
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