Page 278 - Artificial Intellegence_v2.0_Class_9
P. 278

•  Hidden Layer 1:
                   o  6 students will be standing as the nodes of hidden layer 1.
                   o  Each of them will receive 7 chits from 7 different input nodes. Now they have to take a good look at the
                    chits and then write down 4 different words on 4 different chits. For this, they can either use the same
                    words as the input layer did, or they can make their own information (relevant to the context) and write
                    it.
                   o  Now these 4 chits are to be given randomly to any 4 nodes of Hidden Layer 2. Out of the 6 nodes of 2nd
                    hidden layer, one can choose any 4 and give once chit to each. (For best results, each node of hidden
                    layer 2 should get almost same number of chits thus the division should be done properly)
                •  Hidden Layer 2:
                   o 6 students will be standing as the nodes of hidden layer 2.
                   o  Each one of them will get some number of chits from the previous layer. Now they have to perform the
                    same task as hidden layer 1 and have to write down 2 different words on 2 different chits and pass it on
                    to the output layer.
                 •  Output Layer:
                   o  Finally the output layer node will get 12 chits. Now s/he has to understand all the words and has to
                    guess which image was shown to the input layer initially.
                   o  Output layer will then write a summary out of all the words received to explain his/her deduction. The
                    summary should not be more than 5 lines.
                •   Finally, the output layer presents this summary in-front of everyone and the real image is finally revealed
                  to all.
                ●  If the summary is accurate enough, the whole network wins else they lose.






























        Answers


        Exercise (Section A)
        A.  1.  a   2. a     3.  b     4.  c     5.  d       6.  c     7.  a     8.  d      9.  a     10.  c
           11.  c   12. b   13.  c    14.  b
        B.  1. Neural networks      2. algorithms   3. Classification   4. Clustering   5. dendrites

        C.  1. True   2. False  3. True   4. False  5. True
        D.  1. e    2. a    3. b    4. c    5. d



              276     Touchpad Artificial Intelligence (Ver. 2.0)-IX
   273   274   275   276   277   278   279   280   281   282   283