Intro to Machine Learning DeepLearning DeepimageJ

Introduction to Machine Learning DeepLearning DeepimageJ (Free Course)

Introduction to Machine Learning (ML) and Deep Learning (DL) for Bioimage Analysis: 

4:34– Basic concepts to understand the workflow of ML/DL methods. 

45:34– Technical requirements and key aspects to apply ML/DL to bioimage data analysis. 

55:17– Some important tools and resources to get started with these techniques, with a special focus in DeepImageJ: a user-friendly plugin to process images using pre-trained DL models in ImageJ/Fiji.  

Learning outcomes: After this session you will be able to:

– Understand the fundamentals behind machine learning and deep learning.

– Design a basic deep learning solution for your bioimage problem.

– Share your deep learning model with the bioimage community using ImageJ

Recommended prior knowledge: 

– Basic knowledge of statistics and linear algebra.

– Basic knowledge of ImageJ / Fiji processing. 

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