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chore(i18n,learn): processed translations (#45445)

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2022-03-17 01:39:26 +05:30
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14
curriculum/challenges/espanol/11-machine-learning-with-python/tensorflow/conclusion.md
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---
id: 5e8f2f13c4cdbe86b5c72da6
title: Conclusion
title: Conclusión
challengeType: 11
videoId: LMNub5frQi4
bilibiliIds:
aid: 208033449
bvid: BV1Wh411p79h
cid: 409139716
dashedName: conclusion
---
@ -10,19 +14,19 @@ dashedName: conclusion
## --text--
Most people that are experts in AI or machine learning usually...:
La mayoría de la gente que es experta en IA o aprendizaje automático suele...:
## --answers--
have one specialization.
tienen una especialización.
---
have many specializations.
tienen muchas especializaciones.
---
have a deep understanding of many different frameworks.
tienen un profunda comprensión de muchos marcos de trabajo diferentes.
## --video-solution--

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curriculum/challenges/espanol/11-machine-learning-with-python/tensorflow/convolutional-neural-networks.md
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---
id: 5e8f2f13c4cdbe86b5c72d96
title: Convolutional Neural Networks
title: Redes neuronales convolucionales
challengeType: 11
videoId: _1kTP7uoU9E
bilibiliIds:
aid: 805604251
bvid: BV1D34y1S7zS
cid: 409131358
dashedName: convolutional-neural-networks
---
@ -10,19 +14,19 @@ dashedName: convolutional-neural-networks
## --text--
Dense neural networks analyze input on a global scale and recognize patterns in specific areas. Convolutional neural networks...:
Redes densas de interconexión, analizan entradas a escala global y reconoce patrones específicos en áreas específicas. Redes neuronales convolucionales...:
## --answers--
also analyze input globally and extract features from specific areas.
incluso analiza las entradas globalmente y extrae características de áreas específicas.
---
do not work well for image classification or object detection.
no trabaja bien en el reconocimiento de imágenes o en la detección de objetos.
---
scan through the entire input a little at a time and learn local patterns.
escanea en pequeñas porciones de la entrada, un poco a la vez, y aprende patrones locales.
## --video-solution--

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curriculum/challenges/espanol/11-machine-learning-with-python/tensorflow/creating-a-convolutional-neural-network.md
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---
id: 5e8f2f13c4cdbe86b5c72d98
title: Creating a Convolutional Neural Network
title: Creando una Red Neural Convolucional
challengeType: 11
videoId: kfv0K8MtkIc
bilibiliIds:
aid: 420605824
bvid: BV1p341127wW
cid: 409131869
dashedName: creating-a-convolutional-neural-network
---
@ -10,7 +14,7 @@ dashedName: creating-a-convolutional-neural-network
## --text--
Fill in the blanks below to complete the architecture for a convolutional neural network:
Rellena los siguientes espacios en blanco para completar la arquitectura para una red neuronal convolucional:
```py
model = models.__A__()