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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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curriculum/challenges/espanol/11-machine-learning-with-python/tensorflow/conclusion.md
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--- ---
id: 5e8f2f13c4cdbe86b5c72da6 id: 5e8f2f13c4cdbe86b5c72da6
title: Conclusion title: Conclusión
challengeType: 11 challengeType: 11
videoId: LMNub5frQi4 videoId: LMNub5frQi4
bilibiliIds:
aid: 208033449
bvid: BV1Wh411p79h
cid: 409139716
dashedName: conclusion dashedName: conclusion
--- ---
@ -10,19 +14,19 @@ dashedName: conclusion
## --text-- ## --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-- ## --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-- ## --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 id: 5e8f2f13c4cdbe86b5c72d96
title: Convolutional Neural Networks title: Redes neuronales convolucionales
challengeType: 11 challengeType: 11
videoId: _1kTP7uoU9E videoId: _1kTP7uoU9E
bilibiliIds:
aid: 805604251
bvid: BV1D34y1S7zS
cid: 409131358
dashedName: convolutional-neural-networks dashedName: convolutional-neural-networks
--- ---
@ -10,19 +14,19 @@ dashedName: convolutional-neural-networks
## --text-- ## --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-- ## --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-- ## --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 id: 5e8f2f13c4cdbe86b5c72d98
title: Creating a Convolutional Neural Network title: Creando una Red Neural Convolucional
challengeType: 11 challengeType: 11
videoId: kfv0K8MtkIc videoId: kfv0K8MtkIc
bilibiliIds:
aid: 420605824
bvid: BV1p341127wW
cid: 409131869
dashedName: creating-a-convolutional-neural-network dashedName: creating-a-convolutional-neural-network
--- ---
@ -10,7 +14,7 @@ dashedName: creating-a-convolutional-neural-network
## --text-- ## --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 ```py
model = models.__A__() model = models.__A__()