Page 5 - Learning Dosen
P. 5

Gambar                                                                     Halaman


                        Gambar 1 Jaringan Saraf Manusia vs ANN ............................................ 6
                        Gambar 2 Contoh CNN  ........................................................................... 8

                        Gambar 3 Single Layer  ............................................................................ 9

                        Gambar 4 Multilayer ................................................................................. 10
                        Gambar 5 Recurrrent Network .................. . ............................................. 11

                        Gambar 6 Fungsi Aktivasi Linear .............................................................. 12

                        Gambar 7 Fungsi Aktivasi ReLU       ...............................................................................................  12

                        Gambar 8 Fungsi Aktivasi Layer ............................................................... 13

                        Gambar 9 Fungsi Aktivasi Bipolar ............................................................. 14
                        Gambar 10 Fungsi Aktivasi Saturating Linear .......................................... 14

                        Gambar 11 Fungsi Aktivasi Sigmoid ......................................................... 15

                        Gambar 12 Arsitektur Jaringan Single Layer Perceptron ...................... 17

                        Gambar 13 Tabel Fungsi Logika XOR ...................................................... 20
                        Gambar 14 Ilustrasi Multilayer Perceptron .............................................. 21

                        Gambar 15 Ilustrasi CNN dari Segi Pemrosesan ..................................... 26

                        Gambar 16 Proses Konvolusi pada CNN................................................. 27

                        Gambar 17 Input Gambar pada Convolution Layer ............................ 29
                        Gambar 18 Teknik Pooling ........................................................................ 30

                        Gambar 19 Convolution dan Pooling ..................................................... 31

                        Gambar 20 Convolution Neural Network ............................................... 31

                        Gambar 21 Penerapan Augmentasi Data pada Gambar Anjing ...... 36
                        Gambar 22 Arsitektur ANN, input=8 ......................................................... 41

                        Gambar 23 Arsitektur CNN ....................................................................... 43













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