Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.
Este curso forma parte de Programa especializado: TensorFlow: Data and Deployment
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Programa especializado: TensorFlow: Data and Deploymentdeeplearning.aiAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Nivel intermedio
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Qué aprenderás
Perform efficient ETL tasks using Tensorflow Data Services APIs
Construct train/validation/test splits of any dataset - either custom or present in TensorFlow Hub Dataset library - using Splits API
Use different modules and functions of the TFDS API to prepare your data for training pipelines
Identify bottlenecks in your input pipelines and increase your workflow efficiency by input parallelization
Habilidades que obtendrás
- Artificial Neural Network
- Tensorflow
- Extraction, Transformation And Loading (ETL)
- Data Pipelines
- TensorFlow Datasets
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Nivel intermedio
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Programa - Qué aprenderás en este curso
5 horas para completar
Data Pipelines with TensorFlow Data Services
This week, you will be able to perform efficient ETL tasks using Tensorflow Data Services APIs
5 horas para completar
10 videos (Total 21 minutos), 4 lecturas, 4 cuestionarios
3 horas para completar
Splits and Slices API for Datasets in TF
In this week, you will construct train/validation/test splits of any dataset - either custom or present in TensorFlow hub dataset library - using Splits API
3 horas para completar
7 videos (Total 26 minutos), 3 lecturas, 3 cuestionarios
4 horas para completar
Exporting Your Data into the Training Pipeline
This week you will extend your knowledge of data pipelines
4 horas para completar
21 videos (Total 44 minutos), 5 lecturas, 3 cuestionarios
4 horas para completar
Performance
You'll learn how to handle your data input to avoid bottlenecks, race conditions and more!
4 horas para completar
22 videos (Total 44 minutos), 2 lecturas, 4 cuestionarios
Reseñas
- 5 stars64,64 %
- 4 stars19,73 %
- 3 stars8,89 %
- 2 stars4,12 %
- 1 star2,60 %
Principales reseñas sobre DATA PIPELINES WITH TENSORFLOW DATA SERVICES
por MC17 de abr. de 2020
Thorough course on Data Services API. Challenging but worthwhile final assignment.
por PC16 de abr. de 2020
I understand why most of the students are furious about, but content wise, it one of those extremely helpful and important courses in Coursera. Really loved it!
por PB23 de abr. de 2020
covered lot of scenarios that helped to understand the options out there
por YO16 de may. de 2020
Debugging exercises due to errors in indentation sounded stupid in the first place. But the joy of finally getting a "yes" in the assignment auto-grader beats them all.
Acerca de Programa especializado: TensorFlow: Data and Deployment
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
Is financial aid available?
Why was Course 3: Data Pipelines with TensorFlow Data Service updated in October 2020?
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