Acerca de este Curso

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Certificado para compartir
Obtén un certificado al finalizar
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. 12 horas para completar
Inglés (English)

Qué aprenderás

  • Use TensorFlow Serving to do inference over the web

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

  • Evaluate how your models work and share model metadata using TensorBoard

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

Habilidades que obtendrás

TensorFlow ServingMachine Learningfederated learningTensorFlow HubTensorBoard
Certificado para compartir
Obtén un certificado al finalizar
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. 12 horas para completar
Inglés (English)

Instructor

ofrecido por

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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 Quiz30m

Reseñas

Principales reseñas sobre ADVANCED DEPLOYMENT SCENARIOS WITH TENSORFLOW

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Acerca de Programa especializado: TensorFlow: Data and Deployment

TensorFlow: Data and Deployment

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