Speakers
Description
❗ IMPORTANT INFO FOR THE WS ❗
For the workshop, it is recommended to have the following software installed on your laptops:
• DL4MicEverywhere (https://github.com/HenriquesLab/DL4MicEverywhere). Please launch the Notebook: U-Net_2D_Multilabel_ZeroCostDL4Mic.ipynb
• Docker (DL4MicEverywhere will install it automatically the first time you launch it, but if this does not work, you can download it from here: https://www.docker.com/. Root access is needed.)
• We will use an example from the following website that can be cloned on the day of the workshop (https://github.com/IvanHCenalmor/DL4MicEverywhere_Example)
• Download the following dataset: https://bioimage.io/#/?type=dataset&id=zero%2Fdataset_u-net_2d_multilabel_deepbacs
WS DESCRIPTION
DL4MicEverywhere is a platform that offers researchers an easy-to-use gateway to cutting-edge deep learning techniques for bioimage analysis. It features interactive Jupyter notebooks with user-friendly graphical interfaces that require no coding skills. The platform utilizes Docker containers to ensure portability and reproducibility, guaranteeing smooth operation across various computing environments (local personal devices like laptops, remote high-performance computing (HPC) platforms and cloud-based systems). In this workshop we will quickly show the functionality of DL4MicEverywhere for non-expert users and showcase the containerisation and creation of easily reproducible new pipelines.
| Target audience | Intermediate users, Advanced users, Beginner developers, Intermediate developers, Advanced developers |
|---|---|
| Keywords | reproducible deep learning, containerisation, user-friendly notebooks, ai4life |
