[QA] Dissecting a Small Artificial Neural Network

from Arxiv Papers · host Igor Melnyk

The study analyzes the loss landscape and convergence dynamics of a neural network for the XOR gate, revealing insights into backpropagation efficiency and phase behavior through microcanonical entropy. https://arxiv.org/abs//2501.08341 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

Episode metadata supplied by the publisher feed · Published Jan 16, 2025

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[QA] Dissecting a Small Artificial Neural Network

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