Technologies / Artificial Intelligence

NLP with Deeplearning4j - language processing on the JVM

The training introduces participants to the world of natural language processing in the JVM ecosystem using the Deeplearning4j framework. The program is designed to enable Java developers to effectively use deep learning techniques in NLP applications. The class combines theory with intensive hands-on workshops where participants learn to implement NLP solutions in a production environment. The course particularly focuses on performance aspects and integration of language models into existing Java systems. The training methodology involves a gradual build-up of complexity, from basic concepts to advanced applications.

Issues

Deeplearning4j framework
Text processing in the JVM
Vector representations of words
Recursive networks
Optimization of models
Java integration
Memory management
Parallel processing
GPU computing
Deployment of models
Performance monitoring
Scaling up solutions

Benefits

Upon completion of the training, the participant will be able to independently design and implement NLP solutions in a JVM environment
He/she will gain the ability to effectively use Deeplearning4j to develop natural language processing applications
Will be able to integrate language models into existing Java systems in an efficient and scalable manner
Will learn to optimize the performance of NLP models on the JVM platform
Will master techniques for deploying and monitoring NLP solutions in a production environment
Will gain hands-on experience in developing applications that combine deep learning capabilities with the Java ecosystem

Who is this training for?

Java programmers interested in NLP

Developers of enterprise applications using ML

ML engineers working in a JVM environment

Systems architects with AI elements

ML systems integration specialists

Analytical application developers

Developers of word processing systems

Prerequisites

Advanced knowledge of Java
Basic knowledge of machine learning
Experience in enterprise application development
Knowledge of the basics of word processing

Training program

Preparation of the development environment
Integration with Java projects

Implementation of language models
Word2vec and doc2vec in DL4J
Recurrent neural networks

Transfer learning
Optimization and efficiency
Memory management
Parallel processing

Performance profiling
Implementation and integration
Deployment of models
Integration with Java systems

Production monitoring

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For NLP with Deeplearning4j - language processing on the JVM we recommend: Advanced knowledge of Java; Basic knowledge of machine learning; Experience in enterprise application development.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Java programmers interested in NLP; Developers of enterprise applications using ML; ML engineers working in a JVM environment.