© 2020 by Deep Element

AutoML Faces

Automatically build ML models to perform face recognition.

Automatically build ML models to perform face recognition.

Salient Features

Data Preprocessing and Feature Engineering

  • Algorithm automatically transforms user data into a computationally desired form.
  • Algorithm identifies features which are redundant or noisy and discards such features during model training.
  • It adds new features that are informative and useful to identify hidden patterns in the data.

Hyper-parameter Optimization and Training

  • User does not have to provide any Hyper-parameter values.
  • Algorithm has in-built fully automated hyper-parameter optimization.
  • AutoML Faces uses fast and accurate proprietary learning algorithm.
  • Training stops automatically when it detects that the performance of trained model cannot be improved further.
  • Alternately, user can also provide a maximum training time, after which the training stops.

Machine Learning and Programming Resource Requirement

  • Using AutoML Faces does not require the user to be a Machine Learning or Deep Learning expert.
  • The web console makes it very easy for domain experts with no programming experience to train and evaluate ML models.