AutoKeras

Keras is one of the most widely used deep learning frameworks and is an integral part of the TensorFlow 2.0 ecosystem. Auto-Keras is based on the paper by Jin et al., (https://arxiv.org/abs/1806.10282) which proposed "a novel method for efficient neural architecture search with network morphism, enabling Bayesian optimization". AutoKeras is built on the concept that since existing neural architecture search algorithms such as NASNet and PNAS are computationally quite expensive, using Bayesian optimization to guide the network's morphism is an efficient approach to explore the search space.

The toolkit is available on GitHub to be downloaded: github.com/jhfjhfj1/autokeras.

The following steps will guide you through how to install AutoKeras and how to run an automated ML experiment using the library. Let's get started:

1. To get started with Auto-Keras, run the following install commands in Colab or in a Jupyter Notebook. Doing this will install...