PaperTalks - The Forward-Forward Algorithm: Some Preliminary Investigations

Hello,
We are happy to invite you for a free event organise by GetInData | Part of Xebia on April 27th, 2023!

What is Paper Talks?
Paper Talks is an initiative created by their Advanced Analytics team. It was born from the need to follow the newest achievements in the machine learning world and stay up to date with state-of-the art developments. The field of interest is around different hot topics in data science, especially machine learning and deep learning.

For whom?
Everyone interested in data science and machine learning is welcome to join the discussion, however, we used to be pretty curious about the details and did many deep dives, so the atmosphere is definitely more technical and academic than business oriented. If you are a data scientist or a machine learning engineer and you work either in industry or academia, surely you will be able not only to get something interesting from it for you, but also to contribute to the discussion by sharing your ideas and experience.

Formula and link to Paper
It is a one-hour Zoom meeting where we discuss different hot topics in data science, especially machine learning and deep learning. We encourage everyone to contribute to the meeting by adding comments and thoughts to the paper (you can find link here)

Session theme:
The Forward-Forward Algorithm: Some Preliminary Investigations

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The Forward-Forward algorithm replaces the forward and
backward passes of backpropagation by two forward passes, one with positive(i.e. real) data and the other with negative data which could be generated by the network itself. Each layer has its own objective function which is simply to have high goodness for positive data and low goodness for negative data. The sum of the squared activities in a layer can be used as the goodness but there are many other possibilities, including minus the sum of the squared activities.
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Read more about the Paper Talks here.

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Regards,
Klaudia