๐ Learn how to build AI systems for medical imaging domain by leveraging tools and techniques that I share with you! | ๐ก The newsletter is read by people from: Nvidia, Baker Hughes, Harvard, NYU, Columbia University, University of Toronto and more!
Pytorch Model from a List of Layers
Hello Reader,
Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below โ
Creating a Pytorch model from a list of layers
Sometimes you might need to use a list of layers when building your Pytorch model.
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For example, you might have a block of layers (conv followed by batch norm followed by max pool) and you want to duplicate this block several times.
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In this case, you can create a list of these blocks and then you should use ๐ญ๐จ๐ซ๐๐ก.๐ง๐ง.๐๐จ๐๐ฎ๐ฅ๐๐๐ข๐ฌ๐ญ to register this list inside your ๐ง๐ง.๐๐จ๐๐ฎ๐ฅ๐ (Pytorch model).
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Below is a code example from the documentation that showcases how you can register a list of linear layers inside your Pytorch model.
More on ModuleList can be found here.
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Interested in MLOps?
MLOps is not just a hype term, itโs actually a necessary paradigm for ensuring long term performance of your ML models.
Two main goals of MLOps are :
- To have continuous monitoring of your models in production.
- To ensure continuous training and testing of your models.
โThis article outlines some books that can help you tap into the field of MLOps.
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That's it for this week's edition, I hope you enjoyed it!
Machine Learning for Medical Imaging
๐ Learn how to build AI systems for medical imaging domain by leveraging tools and techniques that I share with you! | ๐ก The newsletter is read by people from: Nvidia, Baker Hughes, Harvard, NYU, Columbia University, University of Toronto and more!
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