Dear all,
We hope this email finds you well. We are excited to inform you that there are just four seats left for our upcoming course, "Introduction to Deep Learning for Biologists" scheduled for 2-6 October 2023. This course is an excellent opportunity for professionals and researchers interested in harnessing the power of deep learning in the field of biology.
Here's a brief overview of the course:
Course Details:
- Dates: online,2-6 October 2023
- Course website https://www.physalia-courses.org/courses-workshops/course67/
Course Highlights:
- Gain a solid theoretical foundation in deep learning for biological data.
- Focus on Convolutional Neural Network (CNN) architectures for real-world data classification, regression, and image segmentation.
- Learn essential concepts such as prediction performance measurement, cross-validation, overfitting prevention, and model generalizability.
The course spans five days, featuring engaging lectures, interactive class discussions, and practical hands-on sessions. You'll work collaboratively on exercises, enabling you to apply your newfound skills and receive immediate feedback.
Basic Python programming skills and familiarity with the Linux environment will be helpful, but we welcome participants at all skill levels.
To prepare for the course, you can enhance your Python skills by exploring exercises prepared by our instructors https://github.com/ne1s0n/coding_excercises.
By the end of the course, you will have a comprehensive understanding of deep learning, classification, regression, segmentation, and their applications in biology. You will also learn how to evaluate prediction accuracy, compare models, and effectively utilize real-world data for statistical learning.
For the full list of our courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops/
