LoveOxygenProducers @lemmy.world
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Unraveling the Mysteries: Why is AdamW Often Superior to Adam+L2 in Practice?
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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