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  5. Machine Learning with Java? Deeplearning4j!

Machine Learning with Java? Deeplearning4j!

Session details
Status: 
Accepted
Speaker(s): 
Enrique Llerena Dominguez (mimacom Deutschland GmbH)
Experience level: 
Beginner
Tags: 
machine learning java Deeplearning4j
Session Track: 
Other Cool Stuff
Session Type: 
Standard

In the last few years, we have seen a rise in the demand for artificial intelligence, and specifically machine learning. For some people, getting to know this paradigm represents a double challenge: get familiar with the machine learning theory plus learn a new programming language, but if you already know java and want to break into machine learning, Deeplearning4j is for you!

In this talk, I will present Deeplearning4j: what it is, its current state, its capabilities, possible integrations with other systems, and which are its pros and cons. I will also show the approach to solve some common use cases, like image classification and how to export and deploy the trained model to production. All the code will be publicly available for download.

 

  • What level of knowledge should attendees have before joining your session
    • Basic understanding of software development and java
  • What will your session accomplish and what will attendees have learned
    • Approaches and code will be shown to:
      • Train a deep learning model, use it to make predictions
      • Identify objects and people in images
    • Integrations with other tools
Objective of the presentation: 
Show the attendees how easy is to train and use deep learning models using Deeplearning4j. Examples: - Machine Learning 101 -> concepts, train models, make predictions with models - Identify objects and people in images Show integrations of Deeplearning4j with other tools Stretch goal: - Sentiment analysis with Deeplearning4j - need to check the timing
Attendee pre-requisites - If none, enter "N/A": 
Basic understanding of software development and java
Schedule info
Time: 
26 Oct 2021 - 16:10 to 26 Oct 2021 - 16:40
Room: 
Room 4
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