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klotz: information theory* + machine learning*

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1. Understanding Abstractions in Neural Networks: The Core of Cognition

   This article explains the concept of abstraction in neural networks and its connection to generalization. It also discusses how different components in neural networks contribute to abstraction and reveals an interesting duality between abstraction and generalization.

   2024-05-15 Tags: neural networks, abstraction, generalization, information theory, mathematics, machine learning by klotz
2. Entropy - A Key Concept for All Data Science Beginners

   2020-11-09 Tags: information theory, entropy, machine learning by klotz
3. “Deep Learning is Non-Equilibrium Information Dynamics”

   2018-12-27 Tags: deep learning, information theory, chaos, nonlinear dynamics, carlos perez, medium by klotz
4. “How to Explain Deep Learning using Chaos and Complexity”

   2018-12-27 Tags: deep learning, information theory, chaos, nonlinear dynamics, carlos perez, medium by klotz
5. “When Bayes, Ockham, and Shannon come together to define machine learning”

   Minimum Description Length

   2018-10-22 Tags: bayesian, ockham, shannon, information theory, machine learning by klotz
6. Must know Information Theory concepts in Deep Learning (AI)

   2018-06-03 Tags: deep learning, information theory by klotz

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