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This Monday's presentation and group session will recap on Training a Classifier (L04) and Lecture 5: Multilayer Perceptrons (L05) as part of a series on ML Deep Learning.
Lecture notes from Roger Grosse.
We will also cover how to use Jupyter Notebooks and Google Colab, and how to effectively use AI tools such as Claude and Gemini Notebook for self-study.
I also recommend joining the online Dallas Rust group sessions on implementing deep learning using Rust.
https://www.meetup.com/dallasrust/

As always, donations to offset the costs of running these events are greatly appreciated.

Related topics

Artificial Intelligence
Study Group
Mathematics
Statistical Modeling

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