Technologies / Artificial Intelligence

TensorFlow in Image Recognition

A four-day specialist training dedicated to using TensorFlow in image recognition and processing tasks. The program covers both theoretical foundations of computer vision and practical applications of deep neural networks in image analysis. Participants work with real datasets, implementing and training models that solve practical business problems.

Why choose this training?

In today’s rapidly evolving IT landscape, technical competencies have become a critical asset. A four-day specialist training dedicated to using TensorFlow in image recognition and processing tasks. The program covers both theoretical foundations of computer vision and practical applications of deep neural networks in image analysis.

Upon completion, participants will be able to: Advanced knowledge of convolutional networks, Ability to design vision systems, Practical experience in CNN model training, Knowledge of vision model optimization techniques. These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: Machine learning specialists, Computer vision engineers, AI/ML developers.

What makes our approach unique?

At EITT, we believe the best learning happens through practice. Over 4 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.

With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

Benefits

Advanced knowledge of convolutional networks
Ability to design vision systems
Practical experience in CNN model training
Knowledge of vision model optimization techniques
Ability to implement real-time systems
Knowledge of the latest network architectures
Ability to solve problems in production

Who is this training for?

Machine learning specialists

Computer vision engineers

AI/ML developers

Scientists working on image processing

Developers of applications using image recognition

Vision process automation specialists

Researchers in the field of artificial intelligence

Prerequisites

Knowledge of deep learning basics
Experience in Python programming
Basic knowledge of TensorFlow
Understanding of image processing basics

Training program

Image data preprocessing

Normalization techniques
Network Architectures in Image Recognition
Classic CNN architectures
Modern architectures (ResNet, Inception)

Multi-task architectures
Semantic segmentation
Object detection
Transfer learning in vision

Production Deployments
Vision model optimization

Integration with industrial systems
Model monitoring and maintenance

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

Training Topics

Frequently asked questions

What are the prerequisites for this training?

For TensorFlow in Image Recognition we recommend: Knowledge of deep learning basics; Experience in Python programming; Basic knowledge of TensorFlow.

What is the format and duration of this training?

The training lasts 4 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: Machine learning specialists; Computer vision engineers; AI/ML developers.