Page 118 - Ai_C10_Flipbook
P. 118

Parameters                    Machine Learning                              Deep Learning
               Execution     Machine Learning algorithms take much less time to  Usually, Deep Learning algorithms take
               Time          train.                                              a long time to train because there are
                                                                                 many parameters making the training
                                                                                 time longer than usual.

              ANN


              ANN stands for Artificial Neural Network. It is made up of neurons that help in image recognition and image
              processing. It uses Deep Learning algorithm that takes an input image, processes it by assigning learnable weights
              and biases to various aspects/objects in the image which will help the system to differentiate one image from the
              other with maximum accuracy. We can say that ANN reduces size, improves features and gives the probability
              value of the input image. They are trained to identify and extract the best features from the images.






                                                                                                    Car




                               Input                   Artificial Neural Network                   Output



              Real-world examples of Deep Learning

              Let us learn about some real-world examples of Deep Learning:
                 • Object Identification: Deep learning is used in identifying and classifying objects, animals, or scenes in images.
                Its application can be seen in Google Photos where it automatically categorises images. And in medical imaging
                for detecting diseases like tumors.







                                Apple



                               Labelled
                               PHOTOS

                               Mango                                                                Apple







                 • Digit Recognition: In this process, models are trained to identify handwritten digits. The model learns patterns
                from a large dataset of images. This process demonstrates how Deep Learning can automate tasks requiring
                pattern recognition.



                    116     Artificial Intelligence Play (Ver 1.0)-X
   113   114   115   116   117   118   119   120   121   122   123