Basics of neural networks using TensorFlow
The training provides an in-depth introduction to neural networks using the TensorFlow framework. The program guides participants through the process of building, training and deploying neural network models, combining theory with intensive hands-on workshops. Participants learn best practices in designing network architecture, optimizing performance, and deploying models in a production environment.
Issues
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TensorFlow architecture
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Operations on tensors
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Computational graphs
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Model design
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Network optimization
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Transfer learning
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Regularization
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Convolutional neural networks
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Recurrent neural networks
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Production deployments
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Debugging models
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Visualize the results
Benefits
- Upon completion of the training, the participant will have a solid foundation in the practical use of TensorFlow
- The ability to design and implement neural network models independently
- How to effectively train and optimize deep learning models
- Will develop the ability to solve deep learning problems
- Will be able to implement models in a production environment with best practices
- Will gain practical experience working with various neural network architectures
Who is this training for?
Prerequisites
- Knowledge of Python language
- Fundamentals of linear algebra
- Knowledge of basic statistics
- Understand the basics of machine learning
Training program
Architecture of the framework
- Tensors and operations
- Computational graphs
- Automatic differentiation
- Neural network design
Layers and models
- Activation functions
Training process
- Optimizers
- Regularization and dropout
- CNN and RNN Architectures
Transfer learning
- Tuning hyperparameters
- Implementation and optimization
- Preparation for production
Exporting models
- Performance optimization
- Monitoring and debugging
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 Basics of neural networks using TensorFlow training for?
This training is designed for professionals looking to develop skills in basics of neural networks using tensorflow. Required level: beginner.
How long is the Basics of neural networks using TensorFlow training?
The training lasts 4. 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.