On the thermodynamic interpretation of deep learning systems

DOI10.1007/978-3-030-80209-7_97OpenAlexW3180071016MaRDI QIDQ2117965

Lorenzo Squadrani, Francesco Morri, Rita Fioresi, Francesco Faglioni

Publication date: 22 March 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-80209-7_97

zbMATH Keywords

statistical mechanicsdeep learningLie groups machine learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Classical thermodynamics, heat transfer (80-XX)

Related Items (1)

Geometric deep learning: a temperature based analysis of graph neural networks

Uses Software

• ImageNet
• AlexNet

Cites Work

• An Efficient Learning Procedure for Deep Boltzmann Machines
• Information Theory and Statistical Mechanics
• Contact geometry for simple thermodynamical systems with friction
• Neurons with graded response have collective computational properties like those of two-state neurons.

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