Introduction to Deep Learning
Deep learning is a powerful subset of machine learning where computers learn patterns from data, similar to how our brains learn. It uses artificial neural networks - systems inspired by biological neurons that process information through many layers. This beginner-friendly workshop, organized by Mimer in partnership with LUMI AI Factory, provides an introduction to deep learning concepts, workflows, architectures, and practical applications.
ai
programming
difficulty:
beginner
maturity:
stable
This beginner-friendly workshop provides a gentle introduction to deep learning fundamentals.
Key takeaways
By the end of this course, you will understand:
- Core concepts and terminology of deep learning
- Steps in a deep learning workflow using Python and Keras (with TensorFlow, and potentially PyTorch as backend)
- Data preparation for training neural networks
- How to implement a basic neural network
- Monitoring and troubleshooting the training process
- Visualizing results and evaluating model performance
Who is this for?
- Students and early-career researchers in computer science, bioinformatics, natural sciences, engineering, or related fields
- Data scientists working on deep learning-based applications
- Aspiring software developers looking to learn foundational skills in AI
Prerequisites
- Basic Python programming skills and familiarity with packages like NumPy, Pandas, and Matplotlib
- Experience working with Jupyter notebooks (recommended but not mandatory)