OpenNN: Implementation of neural networks
The training focuses on practical implementation of neural networks using the OpenNN library. The program covers designing, training and optimizing neural models in a C++ environment. The workshop combines theoretical fundamentals with intensive programming, allowing participants to gain practical skills in creating efficient deep learning solutions.
Issues
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OpenNN architecture
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Implementation of neural layers
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Activation functions
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Training algorithms
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Regularization of models
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Performance optimization
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Code profiling
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System integration
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Model testing
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Performance monitoring
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Debugging
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Best practices
Benefits
- The participant will gain practical skills in implementing neural networks in C++ using the OpenNN library
- Will learn to design and optimize neural network architectures for specific applications
- Will learn techniques for efficient training of models under hardware constraints
- Will be able to integrate neural models into existing production systems
- Will develop the ability to debug and profile the performance of deep learning implementations
- Will gain knowledge of best practices in developing efficient AI solutions
Who is this training for?
Prerequisites
- Advanced knowledge of C++
- Basics of neural networks
- Knowledge of linear algebra
- Experience in code optimization
Training program
Library architecture
- Configuring the environment
Basic components
- Data management
- Implementation of models
- Network architecture design
Defining layers
- Activation functions
- Parameter initialization
- Training and optimization
- Training algorithms
Loss functions
- Regularization
- Optimization strategies
- Production implementation
- Integration with applications
- Performance optimization
Model testing
- 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 OpenNN: Implementation of neural networks we recommend: Advanced knowledge of C++; Basics of neural networks; Knowledge of linear algebra.
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: C++ programmers interested in implementing neural networks; ML engineers looking for efficient solutions; Embedded systems developers.
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Funding Options
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Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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