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Welcome to Machine Learning – a versatile digital hub where Artificial Intelligence enthusiasts unite. From news flashes and coding tutorials to ML-themed humor, our community covers the gamut of machine learning topics. Regardless of whether you're an AI expert, a budding programmer, or simply curious about the field, this is your space to share, learn, and connect over all things machine learning. Let's weave algorithms and spark innovation together.

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[R] Unraveling the Mysteries: Why is AdamW Often Superior to Adam+L2 in Practice? (lemmy.world)

submitted 11 months ago by [email protected] to c/[email protected]

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Hello, ML enthusiasts! 🚀🤖 We analyzed rotational equilibria in our latest work, ROTATIONAL EQUILIBRIUM: HOW WEIGHT DECAY BALANCES LEARNING ACROSS NEURAL NETWORKS

💡 Our Findings: Balanced average rotational updates (effective learning rate) across all network components may play a key role in the effectiveness of AdamW.

🔗 ROTATIONAL EQUILIBRIUM: HOW WEIGHT DECAY BALANCES LEARNING ACROSS NEURAL NETWORKS

Looking forward to hearing your thoughts! Let’s discuss more about this fascinating topic together!

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[–] [email protected] 2 points 11 months ago