connectionist machine learning

Apr 22 2025

Numerical stability showcase: Ranking with SoftMax or Boltzmann factor

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Preamble Image: Babylonian table for computation (Wikipedia)Probably, one of the most important aspects of computational work in quantitative fields, such as physics and data sciences is stability of numerical computations. It implies given inputs, outputs should not wildly deviates to large...

machine learning statistical learning statistical physics numerical analysis connectionist machine learning statistics

Mar 28 2020

Book review: A tutorial introduction to the mathematics of deep learning

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Preamble Artificial Intelligence Engines:An introduction to the Mathematics of Deep Learning by Dr James V. Stone the book and Github repository. (c) 2019 Sebtel Press Deep learning and associated connectionist approaches are now applied routinely in industry and academic research from image...

machine learning deep learning statistical learning statistical physics linear algebra mathematics of neural networks connectionist machine learning classsification

Dec 15 2019

Bringing back Occam's razor to modern connectionist machine learning: A simple complexity measure based on statistical physics Cascading Periodic Spectral Ergodicity (cPSE)

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Kindly reposted to KDnuggets by Gregory Piatetsky-Shapiro with the title Applying Occam's razor to Deep Learning  Kindly reviewed by Cornelius Weber Preamble: Changing concepts in machine learning due to deep learning Occam's razor or principle of parsimony has been the guiding principle in...

deep learning ergodicity model selection spectral analysis neural architecture search connectionist machine learning occam's razor for deep learning principle of parsimony