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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Acerca de este Curso
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
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
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
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Programa - Qué aprenderás en este curso
Data Pipelines with TensorFlow Data Services
Splits and Slices API for Datasets in TF
Exporting Your Data into the Training Pipeline
Performance
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
This course many for challengging in code but, before it, i learn it in my college. So, i do this assignment.
I learned a lot from this course about how to optimize TensorFlow data pipelines and how to create public datasets. Thank you! - Steve
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.
Excellent course both for Data Scientists and Machine Learning Engineers!
Acerca de Programa especializado: TensorFlow: Data and Deployment

Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
Why was Course 3: Data Pipelines with TensorFlow Data Service updated in October 2020?
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