En este curso, se explica cĆ³mo crear modelos de AA con TensorFlow y Keras, cĆ³mo mejorar la exactitud de los modelos de AA y cĆ³mo escribir modelos de AA para uso escalado.

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Build, Train and Deploy ML Models with Keras on Google Cloud - EspaƱol

Instructor: Google Cloud Training
Included with
What you'll learn
DiseƱar y crear una canalizaciĆ³n de datos de entrada de TensorFlow
Usar la biblioteca de tf.data para manipular datos en grandes conjuntos de datos
Usar las APIs secuencial y funcional de Keras para crear modelos simples y avanzados
Entrenar, implementar y llevar a producciĆ³n modelos de AA a gran escala con Vertex AI
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There are 6 modules in this course
En este mĆ³dulo, se brinda una descripciĆ³n general del curso y sus objetivos.
What's included
1 video
En este mĆ³dulo, se presenta el marco de trabajo de TensorFlow y se ofrece una vista previa de sus componentes principales, asĆ como de la jerarquĆa general de las API.
What's included
4 videos1 reading1 assignment
Los datos son un componente esencial de los modelos de aprendizaje automĆ”tico. Recopilar los datos correctos no es suficiente. TambiĆ©n es necesario asegurarse de implementar los procesos adecuados para limpiar, analizar y transformar los datos segĆŗn sea necesario, de modo que el modelo pueda captar tantos indicadores como sea posible a partir de esos datos. En este mĆ³dulo, analizamos el entrenamiento con grandes conjuntos de datos mediante tf.data, el trabajo con archivos en la memoria y cĆ³mo preparar los datos para el entrenamiento. DespuĆ©s, analizamos las incorporaciones y terminamos con una descripciĆ³n general del escalamiento de datos con capas de procesamiento previo de tf.keras.
What's included
10 videos1 reading1 assignment2 app items
En este mĆ³dulo, analizamos las funciones de activaciĆ³n y cĆ³mo se las necesita para permitir que las redes neuronales profundas registren los aspectos no lineales de los datos. DespuĆ©s, se ofrece una descripciĆ³n general de las redes neuronales profundas con las APIs secuencial y funcional de Keras. A continuaciĆ³n, describimos la subclasificaciĆ³n de modelos, que ofrece mayor flexibilidad para la creaciĆ³n de modelos. El mĆ³dulo finaliza con una lecciĆ³n sobre regularizaciĆ³n.
What's included
10 videos1 reading1 assignment2 app items
En este mĆ³dulo, describimos cĆ³mo entrenar modelos de TensorFlow a gran escala con Vertex AI.
What's included
3 videos1 reading1 assignment1 app item
Este mĆ³dulo es un resumen del curso Build, Train, and Deploy ML Models with Keras on Google Cloud.
What's included
4 readings
Instructor

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Recommended if you're interested in Software Development
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