Page 122 - Artificial Intellegence_v2.0_Class_11
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Each trip you took across the river gave you a piece of data—what works, what doesn’t work. Sometimes the wolf
              would eat the sheep so this strategy would not work or any time the sheep would eat the cabbage. Each time you had
              to start again but with better clarity than the previous move.
              If you’d never seen this brain teaser, you had to work a little harder to think about how to solve it, but once you
              created the pathway in your brain it became easier for you. We take in information (data) and make connections.
              Neural networks are designed based on human brains!


                      Neural Networks

              A neural network is a system of neurons that works in the form of a network. It comprises of thousands or even millions
              of simple processing nodes that are closely connected.
              Neural networks form the basis of machine learning. An artificial neural consists of neurons that process the information
              and consists of multiple layers of interconnected nodes. The 3 layers in this model are:
              1.  Input layer
              2.  Hidden layer
              3.  Output layer
              Each layer is further divided into several blocks called nodes. Each node is assigned a particular task to perform and
              that is further passed to the next layer.

              Input Layer

                 • It is the first layer of a neural network.
                 • Data is input in this layer.
                 • No processing takes place here.

              Hidden Layer
                 • It is a layer between the input and output layers.
                 • This layer is responsible for processing the input fed into the AI Model.
                 • Processing is not visible to anyone.
                 • Each node of the hidden layer has its functionality and hence, the machine learning algorithm gets executed on the
                 data here.
                 • The processed information is then given to the subsequent hidden layer in the network.
                 • The number of hidden layers in a neural network system depends on the complexity of the task for which the network
                 has been designed.


              Output layer
                 • It is the last layer of the neural network.
                 • It displays the results as given by the AI Model.
                                               Input      Hidden    Hidden       Output
                                                layer     layer 1   layer 2        layer


                                    Input 1

                                    Input 2
                                                                                          Output
                                    Input 3

                                    Input 4



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