- just a sudoku chunk classifier by a DNN for the purpose of Learning to master DNN.
- every chunk is a 3x3 blocks and a sudoku board is a 9x9 blocks, so every row and column in the 9x9 blocks will correspond to a certain index.
- every thing is 1-based indexes
- i.e. row = 5 and column = 8 => index = 44.
- every chunk have 3x3 blocks maps to it's chunk number.
- Is to map index number to chunk number using a DNN.
1 2 3 4 5 6 7 8 9
10 11 12 13 14 15 16 17 18
19 20 21 22 23 24 25 26 27
________ ________ ________
1 2 3
28 29 30 31 32 33 34 35 36
37 38 39 40 41 42 43 44 45
46 47 48 49 50 51 52 53 54
________ ________ ________
4 5 6
55 56 57 58 59 60 61 62 63
64 65 66 67 68 69 70 71 72
73 74 75 76 77 78 79 80 81
________ ________ ________
7 8 9
- output layer have an activation sigmoid function any thing else is an relu activation function.
