Designing a Neural Network in DLHUB
Designing a Deep Learning Network in DLHUB
This section will guide users through five design steps in DLHUB:
- Load data set: Load a training data set into DLHUB.
- Design a deep learning model: Develop a customized deep learning model by linking up modulized network function blocks.
- Train deep learning: Configure training parameters and train the deep learning model.
- Evaluate the trained model: Evaluate the trained deep learning model on a test data set.
- Test and Deploy: Test the trained deep learning model with the new data set and integrate it into any applications.