diff --git a/Generative-Adversarial-Networks/pygan/generativemodel/conditional_generative_model.py b/Generative-Adversarial-Networks/pygan/generativemodel/conditional_generative_model.py
index <HASH>..<HASH> 100644
--- a/Generative-Adversarial-Networks/pygan/generativemodel/conditional_generative_model.py
+++ b/Generative-Adversarial-Networks/pygan/generativemodel/conditional_generative_model.py
@@ -5,7 +5,7 @@ from abc import abstractmethod
 

 class ConditionalGenerativeModel(GenerativeModel):

     '''

-    Generate samples based on the conditonal noise prior.

+    Generate samples based on the conditional noise prior.

 

     `GenerativeModel` that has a `Conditioner`, where the function of 

     `Conditioner` is a conditional mechanism to use previous knowledge 

@@ -16,7 +16,7 @@ class ConditionalGenerativeModel(GenerativeModel):
 

     This model observes not only random noises but also any other prior

     information as a previous knowledge and outputs feature points.

-    Dut to the `Conditoner`, this model has the capacity to exploit

+    Dut to the `Conditioner`, this model has the capacity to exploit

     whatever prior knowledge that is available and can be represented

     as a matrix or tensor.
Update for pre learning, typo, and verbose.