Training

Train your neural network model with IBM Spectrum Conductor Deep Learning Impact 1.2.

Create a training model
Create a training model in IBM Spectrum Conductor Deep Learning Impact. IBM Spectrum Conductor Deep Learning Impact 1.2 supports both Caffe and TensorFlow models.
Train a model
After you create your training model, you can start training it. Before each training run you can adjust the weight files of your model, or specify the hyperparameters.
Tune hyperparameters
Submit a hyperparameter tuning job for your training model.
Validate a trained model
After a successful training run, validate your trained model against a validation dataset.
Create an inference model
Create an inference model from the cluster management console.
Test an inference model
After creating an inference model, you can test it to see prediction results of the model.

Parent topic: Deep learning with IBM Spectrum Conductor Deep Learning Impact 1.2