Acerca de este Curso

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100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

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. 13 horas para completar

Sugerido: 4 weeks of study, 4-5 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

  • Check

    Leverage built-in datasets with just a few lines of code

  • Check

    Use APIs to control how you split your data

  • Check

    Process all types of unstructured data

Habilidades que obtendrás

TensorflowMachine Learning

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

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. 13 horas para completar

Sugerido: 4 weeks of study, 4-5 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

4 horas para completar

Data Pipelines with TensorFlow Data Services

4 horas para completar
14 videos (Total 27 minutos), 1 cuestionario
14 videos
Introduction1m
Popular datasets2m
Data pipelines58s
Extract, transform, load3m
Versioning datasets2m
Looking at the notebook1m
Introduction43s
Legacy API and Subsplits5m
Splits API (S3)2m
Introduction22s
Legacy API in code1m
Splits API (S3) in code1m
P25_L5_D1 title: Week 1 wrap up43s
Semana
2

Semana 2

6 horas para completar

Exporting your data into the training pipeline

6 horas para completar
21 videos (Total 44 minutos), 5 lecturas, 2 cuestionarios
21 videos
Introduction22s
Input data1m
Basic mechanics2m
Numeric and bucketized columns2m
Vocabulary and hashed columns, feature crossing2m
Embedding columns2m
Introduction24s
Notebook walkthrough4m
Introduction19s
Numpy, Pandas and Images2m
CSV3m
Text and TFRecord1m
Generators1m
Introduction17s
Notebook walkthrough4m
Introduction1m
Numpy and Pandas2m
Images1m
CSV4m
Text2m
5 lecturas
Link to the notebook10m
Link to the CNN course10m
Link to the notebook10m
CSV: colab10m
Link to the tokenization10m
1 ejercicio de práctica
Quiz
Semana
3

Semana 3

4 horas para completar

Performance

4 horas para completar
11 videos (Total 20 minutos), 2 cuestionarios
11 videos
Introduction36s
ETL2m
What happens when you train a model2m
Introduction25s
Caching58s
Parallelism APIs2m
Autotuning2m
Parallelizing data extraction2m
Best practices for code improvements3m
A few words by Laurence34s
1 ejercicio de práctica
Week 3 Quiz
Semana
4

Semana 4

5 horas para completar

Publishing your datasets

5 horas para completar
11 videos (Total 24 minutos), 1 lectura, 2 cuestionarios
11 videos
Introduction44s
How to start using a dataset2m
Implementation4m
File access and possible problems in data3m
Publishing the dataset3m
P28_L2_D1 (part 1) title: Title: Introduction18s
Going through the colab (1)2m
Going through the colab (2)2m
Closing words14s
A conversation with Andrew Ng1m
1 lectura
URLs10m
1 ejercicio de práctica
Week 4 Quiz

Instructor

Image of instructor, Laurence Moroney

Laurence Moroney

AI Advocate
Google Brain

Acerca de deeplearning.ai

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

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 model. 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, use APIs to control how data splitting, and process all types of unstructured data. 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 AI. 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....
TensorFlow: Data and Deployment

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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