LAST DAY!!! Almost there!!!
#DL4mia about to be done! โœ…
We start this day with a group picture and then the last lecture.

Jan Funke from HHMI Janelia is telling us about biases in ML and how to learn what it is a neural network learned! ๐Ÿง  ๐Ÿ‘€ @humantechnopole

Day 0 if the @AI4LifeTeam mini-hackathon and day -2 of the #DL4MIA EMBO course @humantechnopole in Milan.
We kick those events of with ๐Ÿ• and ๐Ÿป al Diecimo Miglio in Rho! ๐Ÿ˜‹
This week @humantechnopole, we are having another installment of our fully virtual #DeepLearning for Microscopy Image Analysis (#DL4MIA) course.
I'm so excited about this... and will post below this message over the coming 5 days to update you on what we do! Enjoy! ๐Ÿค“๐Ÿ‘

Do you have coding skills and some familiarity with Python programming? Join our online course on Deep Learning for Microscopy Image Analysis! #DL4MIA

Bring your own microscopy datasets for hands-on learning on image denoising and restoration, image segmentation, failure cases and limitations, with practical insights from experienced trainers.

Register by 4 August ๐Ÿ‘‰ https://humantechnopole.it/en/trainings/ht-deep-learning-for-microscopy-image-analysis-2023/

#sciencemastodon #science #ai #python #humantechnopole #deeplearning #imageanalysis

With @florianjug

HT Deep Learning for Microscopy Image Analysis 2023 - Human Technopole

The goal of the course is to familiarise researchers working in life sciences with state-of-the-art deep learning techniques for microscopy image analysis, with a focus on image restoration and image segmentation. Our aim is to introduce tools and frameworks that will facilitate independent application of the learned material after the course. The following topics will [โ€ฆ]

Human Technopole