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AutoKeras

AutoKeras [6] provides functions to automatically search for the architecture

and hyperparameters of deep learning models. The framework uses Bayesian

optimization for efficient neural architecture search. You can install the alpha

version by using pip:

pip3 install autokeras # for 0.4 version

pip3 install git+git://github.com/keras-team/autokeras@

master#egg=autokeras # for 1.0 version

The architecture is explained in Figure 3 (taken from [6]):

1. The user calls the API

2. The searcher generates neural architectures on CPU

Chapter 14

3. Real neural networks with parameters on RAM from the neural architectures

4. The neural network is copied to GPU for training

5. Trained neural networks are saved on storage devices

6. The searcher is updated based on the training results

Steps 2 to 6 will repeat until a time limit is reached:

Figure 3: AutoKeras system overview

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