A team from Google Research has open-sourced Model Search, an automated machine learning (AutoML) platform for designing deep-learning models. Experimental results show that the system produces models that outperform the best human-designed models, with fewer training iterations and model parameters.
Researchers Hanna Mazzawi and Xavi Gonzalvo described the system in a recent blog post. Model Search is implemented in the TensorFlow deep-learning framework and composes a deep neural network (DNN) from a set of component blocks such as Transformers or long short-term memory (LSTM) layers.
