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Desafío IA: Verdadero o Falso

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Desafío IA: Verdadero o Falso

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About this activity

Descubre conceptos básicos de IA: verdadero o falso.

Created by

YorwYn Hosué Escobar Solís
YorwYn Hosué Escobar Solís
Guatemala

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Desafío IA: Verdadero o Falso
 

Desafío IA: Verdadero o FalsoOnline version

Descubre conceptos básicos de IA: verdadero o falso.

by YorwYn Hosué Escobar Solís
1

La IA se basa en algoritmos que permiten a las máquinas aprender de datos.

2

El overfitting mejora la capacidad de generalización del modelo.

3

Un perceptrón simple puede resolver problemas no linealmente separables sin modificaciones.

4

El procesamiento del lenguaje natural busca entender y generar lenguaje humano.

5

El aprendizaje por refuerzo implica tomar decisiones y recibir recompensas.

6

Las redes neuronales profundas son capas de nodos conectados que extraen características.

7

El razonamiento lógico es lo mismo que el razonamiento probabilístico en IA.

8

La IA solo puede funcionar con grandes conjuntos de datos, nunca con datos limitados.

9

En el aprendizaje supervisado, se usan pares entrada-salida para entrenar.

10

El aprendizaje no supervisado utiliza etiquetas para entrenar modelos.

 
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