Introduction to Deep Learning
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- Starting date and place
Introduction to Deep Learning
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Starting dates and places
computer Online: Virtual 5 Oct 2026 until 7 Oct 2026view details event 05 October, 2026, 09:00-17:00, Virtual, Dag 1 event 06 October, 2026, 09:00-17:00, Virtual, Dag 2 event 07 October, 2026, 09:00-17:00, Virtual, Dag 3 |
Description
What will you learn?
After the training, you will be able to:
- Build and train your own neural networks with TensorFlow/Keras
- Understand Recurrent Neural Networks: From simple RNNs to modern Transformers.
- Intuitively understand the theory behind Deep Learning: What are neurons, how do neural networks learn, and what other components do I need?
- Apply best practices to ensure your model trains optimally like automatic data augmentations, memory-efficient training and optimized model architectures.
- Build Convolutional Neural Networks and apply them to images
- Understand how you can use Transfer Learning to boost your model performance.
Frequently asked questions
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
What will you learn?
After the training, you will be able to:
- Build and train your own neural networks with TensorFlow/Keras
- Understand Recurrent Neural Networks: From simple RNNs to modern Transformers.
- Intuitively understand the theory behind Deep Learning: What are neurons, how do neural networks learn, and what other components do I need?
- Apply best practices to ensure your model trains optimally like automatic data augmentations, memory-efficient training and optimized model architectures.
- Build Convolutional Neural Networks and apply them to images
- Understand how you can use Transfer Learning to boost your model performance.
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Do you have experience with this course? Submit your review and help other people make the right choice. As a thank you for your effort we will donate € 1,- to Stichting Edukans.There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.