# Interpretable cnn for big five personality traits using audio data #
# Parameters initalization #

# Model hyperparameters.
LEARNING_RATE = 1e-4  # Learning rate for the Adam optimizer.
No_of_Epochs = 500 # No of epochs for training the model.
NUM_CLASSES = 5   # No of output classess.
raw_audio_dim = 61208 # dimension of raw audio.


# Interpretable cnn for big five personality traits using audio data #
# Parameters initalization #

# Model hyperparameters.
LEARNING_RATE = 1e-4  # Learning rate for the Adam optimizer.
No_of_Epochs = 500 # No of epochs for training the model.
NUM_CLASSES = 5   # No of output classess.
raw_audio_dim = 61208 # dimension of raw audio.


# Interpretable cnn for big five personality traits using audio data # # Parameters initalization # # Model hyperparameters. # Learning rate for the Adam optimizer. # No of epochs for training the model. # No of output classess. # dimension of raw audio.