Torch in machine learning and deep learning
Advanced training on the use of the Torch framework in deep learning projects. The program guides participants through the process of designing, implementing and optimizing deep learning models, with a special focus on the practical aspects of working with large data sets. The class combines a solid theoretical foundation with intensive hands-on workshops, where participants implement a variety of neural network architectures and learn to solve real-world problems using deep learning. The workshops are conducted in an environment that reflects real-world design challenges.
Issues
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Torch Architecture
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Tensor operations
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Automatic differentiation
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Neural network design
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Gradient optimization
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Regularization of models
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Distributed training
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Model deployment
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Performance optimization
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Memory management
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Custom layers
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Production integration
Benefits
- Upon completion of the training, the participant will have a deep working knowledge of designing and implementing deep learning models in the Torch environment
- The ability to effectively train complex neural network architectures using advanced optimization techniques
- Will develop the ability to identify and solve performance problems in deep learning projects
- Will learn to implement custom neural network layers and components tailored to specific design needs
- Will be able to optimize the model training and inference process for performance and resource consumption
- Will gain hands-on experience in deploying Torch models in a production environment
Who is this training for?
Prerequisites
- Solid knowledge of the basics of deep learning
- Experience in Python programming
- Knowledge of linear algebra and differential calculus
- Practical knowledge of neural networks
Training program
Ecosystem and components of the framework
- Tensors and tensor operations
Automatic differentiation
- Memory management and performance optimization
Neural network design
- Implementation of layers and models
- Activation functions and initialization of scales
- Mechanisms of regularization
- Advanced network architectures
Training and optimization
- Strategies for training models
- Gradient optimization techniques
- Managing the learning process
- Debugging deep learning models
Deployment and scaling
- Deployment of Torch models
- Optimizing inferencing performance
Distributed model training
- Integration with production infrastructure
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
Who is the Torch in machine learning and deep learning training for?
This training is designed for professionals looking to develop skills in torch in machine learning and deep learning. Required level: advanced.
How long is the Torch in machine learning and deep learning training?
The training lasts 3. 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.
Request a quote
Funding Options
Check funding options for your company
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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Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.