Technologies / Artificial Intelligence

NLP with TensorFlow - advanced deep learning techniques

The training focuses on advanced deep learning techniques in natural language processing using the TensorFlow framework. The program covers the design, implementation and optimization of complex neural architectures for language tasks. Classes are conducted in the form of intensive workshops, where participants work on real NLP projects using the latest developments in deep learning. Special emphasis is placed on the practical aspects of implementing models in a production environment and optimizing their performance.

Issues

Deep learning architectures for NLP
Advanced training techniques
Optimization of models
Mechanisms of attention
Transformers and their variants
Distributed training
TensorFlow Serving
Quantization of models
Performance profiling
Production deployment
Monitoring models
Scaling NLP solutions

Benefits

Upon completion of the training, the participant will be able to design and implement advanced deep learning architectures for NLP tasks
Will gain the ability to effectively use TensorFlow to create scalable language solutions
Will be able to optimize model performance for production applications
Will learn to implement state-of-the-art neural architectures for text processing
Will master techniques for training and implementing large-scale models
Will gain hands-on experience in solving complex NLP problems

Who is this training for?

Deep learning specialists working with NLP

ML engineers with experience in TensorFlow

Data scientists specializing in language models

AI researchers developing neural models

AI application developers

ML solution architects

NLP experts implementing production models

Prerequisites

Advanced knowledge of TensorFlow
Experience in deep learning
Sound knowledge of NLP
Practice in the implementation of ML models

Training program

Recurrent networks (RNN, LSTM, GRU).
Mechanisms of attention
Transformer architectures
Advanced regularization techniques
Implementation in TensorFlow
Efficient data processing
Custom layers and loss functions
Advanced training techniques

Distributed training
Optimization of models
Techniques for accelerating training
Quantization and pruning
Inference optimization

Performance profiling
Deployment and scaling

TensorFlow Serving
Optimization for memory

Deployment techniques
Monitoring models

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

Your Learning Path

NLP with TensorFlow - advanced deep learning techniquesCurrent training

Deep Learning with TensorFlow - From Basics to Advanced TechniquesRelated training

Frequently asked questions

Who is the NLP with TensorFlow - advanced deep learning techniques training for?

This training is designed for professionals looking to develop skills in nlp with tensorflow - advanced deep learning techniques. Required level: advanced.

How long is the NLP with TensorFlow - advanced deep learning techniques training?

The training lasts 5. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.