Designing a Deep Learning Network in DLHUB

This section will guide users through five design steps in DLHUB:

  1. Load data set: Load a training data set into DLHUB.
  2. Design a deep learning model: Develop a customized deep learning model by linking up modulized network function blocks.
  3. Train deep learning: Configure training parameters and train the deep learning model.
  4. Evaluate the trained model: Evaluate the trained deep learning model on a test data set.
  5. Test and Deploy: Test the trained deep learning model with the new data set and integrate it into any applications.