4990,00 Kč
Prerequisites
- basic knowledge of Python programming.
- basic knowledge of university mathematics (Calculus, Probability, Statistics).
Outline
- The Machine Learning workflow.
- Neural networks: from perceptron to deep learning.
- Working with tabular data.
- Image classification.
- Deep learning for NLP tasks.
- Transfer learning. Fine-tuning models.
- Debugging and deploying deep learning models.
Description
In this course, we will dig into the most exciting technology around: deep learning. We will train neural networks in small data to teach you the basics to get you started developing your own applications. We will also cover the basics of using open-source powerful models for custom use-cases (fine-tuning).
Note: All trainings are in English language.
Additional information
| Date | January 12th, 2024, 9:00-16:00 CET (online) |
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