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Technologies / Artificial Intelligence

Deep Learning Neural Networks with Chainer

This training focuses on practical use of the Chainer framework for implementing advanced deep learning neural networks. Participants will learn the framework architecture, implementation techniques for various neural network types, and deep learning model optimization methods. The program is delivered as intensive programming workshops where participants create and train their own neural network models.

Required Participant Preparation

  • Good Python language knowledge
  • Basic neural network knowledge
  • Machine learning experience
  • Linear algebra and calculus knowledge

Benefits

  • After completing the training, participants will be able to effectively use the Chainer framework for implementing advanced neural networks
  • They will gain practical skills in designing and training various deep learning architectures
  • They will learn to optimize the learning process and tune model hyperparameters for best results

Who is this training for?

Programmers specializing in deep learning
Data scientists working with neural networks
Machine learning engineers
Artificial intelligence researchers
AI systems developers
Deep learning model optimization specialists
AI solution architects
Python programmers interested in deep learning

Training program

01

Framework architecture

  • Dynamic computational graphs
  • Basic tensor operations
  • Automatic differentiation
  • Neural Network Implementation
02

Layers and models

  • Activation functions
03

Optimizers

  • Regularization
  • Advanced Architectures
  • Convolutional networks (CNN)
  • Recurrent networks (RNN)
  • Transformer architectures
04

Transfer learning

  • Optimization and Deployment
  • Hyperparameter tuning
  • Training techniques
05

Model deployment

  • Performance 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?

The Deep Learning Neural Networks with Chainer training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

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: Programmers specializing in deep learning; Data scientists working with neural networks; Machine learning engineers.

Anna Polak
Anna Polak Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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