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Desafío IA y Aprendizaje Automático

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Desafío IA y Aprendizaje Automático

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Desafía tu conocimiento de IA y ML.

Created by

andres rosero
andres rosero
Colombia

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Desafío IA y Aprendizaje Automático
 

Desafío IA y Aprendizaje AutomáticoOnline version

Desafía tu conocimiento de IA y ML.

by andres rosero
1

El aprendizaje sin supervisión requiere siempre etiquetas para entrenar.

2

El descenso por gradiente siempre converge a la solución global en redes neuronales.

3

Las redes neuronales profundas son modelos con múltiples capas que pueden extraer representaciones jerárquicas.

4

Un modelo entrenado con datos sesgados puede rendir igual sin sesgo alguno.

5

El overfitting se produce cuando un modelo memoriza los datos de entrenamiento y generaliza mal.

6

En IA, solamente se utiliza hardware de alto rendimiento; el software por sí solo no es suficiente.

7

El aprendizaje supervisado utiliza datos con etiquetas para entrenar modelos.

8

El aprendizaje automático es una subdisciplina de la IA centrada en modelos que aprenden de datos.

9

La IA abarca técnicas como el razonamiento, el aprendizaje y la percepción.

10

Las redes neuronales profundas nunca superan a los modelos lineales en tareas complejas.

 
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