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Automated Machine Learning with AutoKeras

You're reading from   Automated Machine Learning with AutoKeras Deep learning made accessible for everyone with just few lines of coding

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800567641
Length 194 pages
Edition 1st Edition
Languages
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Author (1):
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Luis Sobrecueva Luis Sobrecueva
Author Profile Icon Luis Sobrecueva
Luis Sobrecueva
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Table of Contents (15) Chapters Close

Preface 1. Section 1: AutoML Fundamentals
2. Chapter 1: Introduction to Automated Machine Learning FREE CHAPTER 3. Chapter 2: Getting Started with AutoKeras 4. Chapter 3: Automating the Machine Learning Pipeline with AutoKeras 5. Section 2: AutoKeras in Practice
6. Chapter 4: Image Classification and Regression Using AutoKeras 7. Chapter 5: Text Classification and Regression Using AutoKeras 8. Chapter 6: Working with Structured Data Using AutoKeras 9. Chapter 7: Sentiment Analysis Using AutoKeras 10. Chapter 8: Topic Classification Using AutoKeras 11. Section 3: Advanced AutoKeras
12. Chapter 9: Working with Multimodal and Multitasking Data 13. Chapter 10: Exporting and Visualizing the Models 14. Other Books You May Enjoy

Exporting your models

The best model found by AutoKeras can be easily exported as a Keras model.

When saving your models to disk, this can be done in two different formats: the TensorFlow SavedModel format, and the older Keras H5 format. The recommended format is SavedModel, and this is the option used by default when we call to model.save().

How to save and load a model

Let's now see how to export and restore a model step by step:

  1. Export the model to a Keras model using the following code block:
    model = my_autokeras_model.export_model() 

    Now, try to save to the TensorFlow format using the h5 format as backup as something is wrong:

    try:
        model.save("model_autokeras", save_format="tf")
    except:
        model.save("model_autokeras.h5")
  2. Reload the model, as shown in the following code block:
    from tensorflow.keras.models import load_model
    loaded_model = load_model("model_autokeras", custom_objects...
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