Save, Load and Export Models with Keras

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在此指導 項目中,您將:

Learn to save, load and export models with Keras.

Learn to save model checkpoints during training.

Clock1 hour
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this 1 hour long project based course, you will learn to save, load and restore models with Keras. In Keras, we can save just the model weights, or we can save weights along with the entire model architecture. We can also export the models to TensorFlow's Saved Mode format which is very useful when serving a model in production, and we can load models from the Saved Model format back in Keras as well. In order to be successful in this project, you should be familiar with python programming, and basics of neural networks. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

Data ScienceDeep LearningMachine LearningTensorflowkeras

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Create a function to return model instances

  2. Data Processing

  3. Keras model checkpoint callback

  4. Create and evaluate a new model instance

  5. Explore the save weights and the save function on model instances

  6. Use the save weights and the save functions to export to and import from the Saved Model format

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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