2. Hyperparameters

Hyperparameters are model-specific properties that are fixed before you even train and test your model on data.

In [11]:
# Hyper-parameters
learning_rate = 0.72 # The optimization initial learning rate
num_epochs =  5000 # Total number of training epochs
display_step = 1