This paper presents a theoretical analysis of linear interpolation as a principled method for stabilizing (large-scale) neural network training.

This paper presents a theoretical analysis of linear interpolation as a principled method for stabilizing (large-scale) neural network training.

This paper presents a theoretical analysis of linear interpolation as a principled method for stabilizing (large-scale) neural network training.

This paper presents a theoretical analysis of linear interpolation as a principled method for stabilizing (large-scale) neural network training.

3/7/2024: Trending stories on Hackernoon today!

Rene Reinsberg discusses EthDenver's energy, Celo's transition to Ethereum L2, ReFi's role, and Celo's impact on financial inclusion and climate action.

Some time ago, I participated in a game jam and made this game – Of Mice and Bad Choices, I think this is a good opportunity how automated testing can be done

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The article is about the importance of cybersecurity of smart devices for IoT. Also, it provides an idea of how to improve cybersecurity knowledge for people

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In the emerging era of AI development, what should be the focal points for data science teams?

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For most software engineers, algorithmic problems are this bizarre type of problems that they only have to know in order to succeed in…

Imagine a world where humans don’t write anymore

He wasn’t expecting it

A few weeks ago, I was running early in the morning in Arizona. I probably should have waited for it to get light out, but I had a busy day…