Jan. 1, 2023, midnight | Haifeng Jin, François Chollet, Qingquan Song, Xia Hu

JMLR www.jmlr.org

To use deep learning, one needs to be familiar with various software tools like TensorFlow or Keras, as well as various model architecture and optimization best practices. Despite recent progress in software usability, deep learning remains a highly specialized occupation. To enable people with limited machine learning and programming experience to adopt deep learning, we developed AutoKeras, an Automated Machine Learning (AutoML) library that automates the process of model selection and hyperparameter tuning. AutoKeras encapsulates the complex process of building …

architecture automated machine learning automl best practices building deep learning experience hyperparameter keras library machine machine learning model selection networks neural networks optimization people practices process programming progress software tensorflow tools training usability

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@ University of Texas at Austin | Austin, TX

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@ University of Texas at Austin | Austin, TX

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@ Promaton | Remote, Europe

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@ Meta | Menlo Park, CA

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@ Mastercard | O'Fallon, Missouri (Main Campus)