Medium

Thommaskevin

Thommaskevin

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Oct 22

TinyML — Extremely Randomized Trees

From mathematical foundations to edge implementation

TinyML — Extremely Randomized Trees

Thommaskevin

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Sep 18

TinyML — Self-Organizing Maps

From mathematical foundations to edge implementation

TinyML — Self-Organizing Maps

Thommaskevin

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Aug 28

TinyML — Quantile Regression Neural Networks

From mathematical foundations to edge implementation

TinyML — Quantile Regression Neural Networks

Thommaskevin

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Aug 13

TinyML — Adaptive Neuro-Fuzzy Inference System

From mathematical foundations to edge implementation

TinyML — Adaptive Neuro-Fuzzy Inference System

Thommaskevin

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Jul 16

TinyML — Generative Adversarial Networks

From mathematical foundations to edge implementation

TinyML — Generative Adversarial Networks

Thommaskevin

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Jun 25

TinyML — Causal Decision Trees

From mathematical foundations to edge implementation

TinyML — Causal Decision Trees

Thommaskevin

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Jun 5

TinyML — Liquid Neural Networks

From mathematical foundations to edge implementation

TinyML — Liquid Neural Networks

Thommaskevin

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May 14

TinyML —Recurrent Neural Networks

From mathematical foundations to edge implementation

TinyML —Recurrent Neural Networks

Thommaskevin

·

Apr 28

TinyML — Spiking Neural Networks

From mathematical foundations to edge implementation

TinyML — Spiking Neural Networks

Thommaskevin

·

Apr 4

TinyML — Bayesian Neural Networks

From mathematical foundations to edge implementation

TinyML — Bayesian Neural Networks

Thommaskevin

Thommaskevin

I am a Ph.D. in Electrical and Computer Engineering with a specialization in Intelligent Information Processing at the UFRN from Brazil.

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