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 basic familiarity with building models in TensorFlow.

Aprox. 9 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

  • Check

    Use TensorFlow Serving to do inference over the web

  • Check

    Navigate TensorFlow Hub, a repository of models that you can use for transfer learning

  • Check

    Evaluate how your models work and share model metadata using TensorBoard

  • Check

    Explore federated learning and how to retrain deployed models while maintaining data privacy

Habilidades que obtendrás

TensorFlow ServingMachine Learningfederated learningTensorFlow HubTensorBoard

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 basic familiarity with building models in TensorFlow.

Aprox. 9 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Instructor

Imagen del instructor, Laurence Moroney

Laurence Moroney 

AI Advocate
Google Brain
128,129 alumnos
8 cursos

ofrecido por

Logotipo de deeplearning.ai

deeplearning.ai

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

1 hora para completar

TensorFlow Extended

1 hora para completar
12 videos (Total 21 minutos), 5 lecturas, 1 cuestionario
12 videos
Introduction24s
Serving3m
Installing TF Serving1m
TensorFlow Serving summary30s
Setup for serving2m
Serving1m
Predictions41s
Passing data to serving1m
Getting the predictions back1m
Running the colab2m
Complex model2m
5 lecturas
Downloading the Coding Examples and Exercises10m
Installation link10m
TF server running in colab10m
Serving with Fashion MNIST10m
Ungraded Exercise - Serving with MNIST10m
1 ejercicio de práctica
Week 1 Quiz
Semana
2

Semana 2

5 horas para completar

Sharing pre-trained models with TensorFlow Hub

5 horas para completar
11 videos (Total 20 minutos), 7 lecturas, 2 cuestionarios
11 videos
Introduction to TF Hub2m
Transfer learning1m
Inference1m
Module storage2m
Text based models1m
Word embeddings1m
Experimenting with embeddings1m
Colab1m
Classify cats and dogs1m
Transfer learning1m
7 lecturas
Tensorflow Hub link10m
Link to saved models10m
Colab10m
Pre-trained Word Embeddings10m
Text Classification Colab10m
MobileNet model details10m
Colab10m
1 ejercicio de práctica
Week 2 Quiz
Semana
3

Semana 3

5 horas para completar

Tensorboard: tools for model training

5 horas para completar
10 videos (Total 16 minutos), 2 lecturas, 2 cuestionarios
10 videos
Tensorboard scalars1m
Callbacks42s
Histograms59s
Publishing model details1m
Local tensorboard2m
Looking at graphics in a dataset2m
More than one image56s
Confusion matrix2m
Multiple callbacks1m
2 lecturas
tensorboard.dev10m
Colab10m
1 ejercicio de práctica
Week 3 Quiz4m
Semana
4

Semana 4

1 hora para completar

Federated Learning

1 hora para completar
9 videos (Total 22 minutos), 1 lectura, 1 cuestionario
9 videos
Training on mobile devices2m
Data at the edge2m
How it works2m
Maintaining user privacy3m
Masking2m
APIs for Federated Learning2m
Example of federated learning2m
Outro59s
1 lectura
Colab10m
1 ejercicio de práctica
Week 4 Quiz16m

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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