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Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models. In this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more. Industries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever. This Specialization builds upon skills learned in the TensorFlow in Practice Specialization. We recommend learners complete that Specialization prior to enrolling in TensorFlow: Data and Deployment.
Certificado para compartir
Obtén un certificado al finalizar
Cursos 100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Cronograma flexible
Establece y mantén fechas de entrega flexibles.
Nivel intermedio
Aprox. 4 meses para completar
Sugerido 3 horas/semana
Inglés (English)
Certificado para compartir
Obtén un certificado al finalizar
Cursos 100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Cronograma flexible
Establece y mantén fechas de entrega flexibles.
Nivel intermedio
Aprox. 4 meses para completar
Sugerido 3 horas/semana
Inglés (English)

Hay 4 cursos en este Programa Especializado

Curso1

Curso 1

Browser-based Models with TensorFlow.js

4.7
estrellas
568 calificaciones
137 reseña
Curso2

Curso 2

Device-based Models with TensorFlow Lite

4.6
estrellas
307 calificaciones
68 reseña
Curso3

Curso 3

Data Pipelines with TensorFlow Data Services

4.0
estrellas
228 calificaciones
71 reseña
Curso4

Curso 4

Advanced Deployment Scenarios with TensorFlow

4.6
estrellas
206 calificaciones
32 reseña

ofrecido por

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deeplearning.ai

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