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 faz parte do Programa de cursos integrados TensorFlow: Data and Deployment
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Informações sobre o curso
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have basic familiarity with building models in TensorFlow.
O que você vai aprender
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 você terá
- TensorFlow Serving
- Machine Learning
- federated learning
- TensorFlow Hub
- TensorBoard
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have basic familiarity with building models in TensorFlow.
oferecido por
Programa - O que você aprenderá com este curso
TensorFlow Extended
Sharing pre-trained models with TensorFlow Hub
Tensorboard: tools for model training
Federated Learning
Avaliações
- 5 stars81,44%
- 4 stars14,25%
- 3 stars2,94%
- 2 stars0,90%
- 1 star0,45%
Principais avaliações do ADVANCED DEPLOYMENT SCENARIOS WITH TENSORFLOW
Very practical and advanced topics taught in easily understandable way.
Enjoyed this specialization as much as I did the Tensorflow in practice. Thank you Laurence Moroney and Andrew Ng for getting these cool topics to all of us, so we can contribute back to community.
Grader messages are not helpful due to which debugging time increases. Rest the course is quite informational and useful.
This topic seems to be very important but the content is not as good as rest of the weeks content, more explanations and more simple examples could have helped
Sobre Programa de cursos integrados TensorFlow: Data and Deployment

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