Page 328 - Ai_417_V3.0_C9_Flipbook
P. 328

A discriminative model models the decision boundary between the classes. A generative model explicitly models
              the actual distribution of each class. In final both of them is predicting the conditional probability P (Animal
              Features). But both models learn different probabilities.

                       Unsupervised Learning and Generative Modelling


              Unsupervised learning is a type of machine learning where models are trained using data that does not have
              labels. This means the model has to find patterns and relationships in the data on its own. Generative modelling
              is a specific approach within unsupervised learning that focuses on understanding and modelling how the data
              is generated. Generative models try to learn the underlying rules that produce the data, so they can create new
              examples that look similar to the original data. In summary, Unsupervised learning is about finding patterns in
              unlabelled data, and generative modelling is a method within this type of learning that aims to understand and
              replicate how the data is made.


              Unsupervised Learning


                                                                     Output
                                  Input                                                    Example that's similar to
                                                            Emergent pattern/inherent
                     Unstructured/Unlabelled dataset                                         what's in the dataset
                                                                    structure





















              The goal of unsupervised learning is to find patterns, structures, or representations in the data without human
              intervention. An unsupervised learning approach works on an unlabelled dataset. This means that the data
              which is fed to the machine is random and there is no know-how available about it to the trainer.

                             Reboot


                    1.  Differentiate between Supervised Learning and Unsupervised Learning approach.




                    2.  List any two points to differentiate between real and AI-generated images.









                    326     Touchpad Artificial Intelligence (Ver. 3.0)-IX
   323   324   325   326   327   328   329   330   331   332   333