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Practical Deep Learning - Planning materials
May 6-8, 9:00-12:00 (CET), 2025
Contents of this documents and quicklinks:
- About the course
- Who is this workshop for
- Prerequisites
- Key takeaways
- Tentative agenda
- Day 1 - Intro to deep learning (I)
- Day 2 - Intro to deep learning (II)
- Day 3 - Application examples using deep-learning
- More events & contact
- Schedules can change!
- Regulations
About the course
Deep learning is a subset of machine learning that focuses on training artificial neural networks with multiple layers to recognize patterns and to simulate the complex decision-making power of the human brain. The use of deep learning has seen a significant increase of popularity and applicability over the last decade. While it serves as a powerful tool for researchers across various domains, taking the first steps into the world of deep learning can be somewhat intimidating.
This three-day online workshop aims to provide beginners with a foundational understanding of deep learning concepts, workflows, network architectures, and applications.
On the first two days, a gentle introduction to deep learning is presented. Starting with explanation of the basic concepts, we dive into different steps of a deep learning workflow using Python, Tensorflow and Keras – preparation of training data, implementation of a basic neural network, monitoring & troubleshooting training process, and visualizing results & model performance.
On the final day of the workshop, we conclude with demos of three representative applications. These will illustrate how deep learning is shaping modern technology across healthcare, image processing, and natural language understanding.
Who is this workshop for
This beginner-level workshop is designed for individuals interested in learning the fundamentals of deep learning and how it applies to fields such as drug discovery, computer vision, and large language models (LLMs). The target audience includes:
Prerequisites
Participants are expected to have the following knowledge:
Key takeaways
By the end of this workshop, the participants will be able to:
along with real-world applications of deep learning (e.g., image recognition, NLP)
Tentative agenda
Day 1 - Intro to deep learning (I)
Day 2 - Intro to deep learning (II)
Day 3 - Application examples using deep-learning
More events & contact
Check out more upcoming events from ENCCS and our European network at https://enccs.se/events.
For questions regarding this workshop or general questions about ENCCS training events, please contact training@enccs.se.
Schedules can change!
To ensure that everyone has the opportunity to participate, we kindly request that you let us know as soon as possible if you are unable to attend an event after registering.
Please send us an email to training@enccs.se to cancel your attendance.
We understand things can change, but repeated cancellations without notice may unfortunately result in your name being removed from future event registration lists.
Regulations
Due to EuroCC2 regulations, we CAN NOT ACCEPT generic or private email addresses. Please use your official university or company email address for registration.
This training is for users that live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 HERE.