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.
提供:


このコースについて
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have basic familiarity with building models in TensorFlow.
学習内容
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
習得するスキル
- 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.
提供:

deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
シラバス - 本コースの学習内容
TensorFlow Extended
Sharing pre-trained models with TensorFlow Hub
Tensorboard: tools for model training
Federated Learning
レビュー
- 5 stars81.33%
- 4 stars14.28%
- 3 stars2.99%
- 2 stars0.92%
- 1 star0.46%
ADVANCED DEPLOYMENT SCENARIOS WITH TENSORFLOW からの人気レビュー
Many useful stuffs if you want to move for Tensorflow or AI Deployment
The fact that there were still some problems in the Course regarding technical or exercise based, it shows that this material is relatively new in the domain.
great course for utilities to enhance the training and deployment experience
Nice course about tensorflow deployment techniques
TensorFlow: Data and Deployment専門講座について
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 machine learning models.

よくある質問
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