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Neuronas Artificiales y Redes Neuronales

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Neuronas Artificiales y Redes Neuronales

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Descubre qué son y cómo aprenden las NN

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EDUCACIÓN CONTINUA
EDUCACIÓN CONTINUA
Mexico

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Neuronas Artificiales y Redes Neuronales
 

Neuronas Artificiales y Redes NeuronalesOnline version

Descubre qué son y cómo aprenden las NN

by EDUCACIÓN CONTINUA
1

Las redes neuronales artificiales están inspiradas en la estructura de redes neuronales biológicas y el procesamiento paralelo.

2

Una neurona artificial es un modelo matemático que simula el comportamiento de una neurona biológica.

3

Se originó como una simplificación de la neurona para entender el procesamiento de información en el cerebro.

4

El aprendizaje de una red neuronal ocurre sin ajustar pesos ni umbrales.

5

En una neurona artificial, la salida se obtiene aplicando una función de activación al valor sumado de entradas ponderadas.

6

Las neuronas artificiales tienen núcleo, orgánulos y utilizan señales químicas para procesar información.

7

Una red neuronal no puede aprender de datos sin etiquetar en ningún caso.

8

El aprendizaje en redes neuronales puede ser supervisado, no supervisado o por refuerzo, y el backpropagation es un método común para entrenamiento supervisado.

9

Las neuronas artificiales funcionan exactamente igual que las biológicas, con sinapsis químicas.

10

Toda red neuronal artificial necesita retropropagación para aprender.

 
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