| Neural Network with Back Propagation - One Hidden Layer | |
One Input, with a two neuron hidden layer and RELU activation, single value output
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| Desired Output | |
| Input Number | |
| Layer 1 First Weight | |
| Layer 1 Second Weight | |
| Layer - 2 First Weight | |
| Layer 2 Second Weight | |
| Learning Rate | |
| Training data sets | |||||||
| x | W11 | W12 | H1 | H2 | W21 | W22 | y |
| 50 | 3 | -1 | 150 | 0 | 2 | 4 | 300 |
| -46 | 3 | -1 | 0 | 46 | 2 | 4 | 184 |
| 48 | 3 | -1 | 144 | 0 | 2 | 4 | 288 |
| 55 | 3 | -1 | 165 | 0 | 2 | 4 | 330 |
| -2 | 3 | -1 | 0 | 2 | 2 | 4 | 8 |
| 6 | 3 | -1 | 18 | 0 | 2 | 4 | 36 |
| -18 | 3 | -1 | 0 | 18 | 2 | 4 | 72 |
| 63 | 3 | -1 | 189 | 0 | 2 | 4 | 378 |
| -96 | 3 | -1 | 0 | 96 | 2 | 4 | 384 |
| 22 | 3 | -1 | 66 | 0 | 2 | 4 | 132 |
| -88 | 3 | -1 | 0 | 88 | 2 | 4 | 352 |
| -38 | 3 | -1 | 0 | 38 | 2 | 4 | 152 |
| 94 | 3 | -1 | 282 | 0 | 2 | 4 | 564 |
| 41 | 3 | -1 | 123 | 0 | 2 | 4 | 246 |
| 31 | 3 | -1 | 93 | 0 | 2 | 4 | 186 |
| -28 | 3 | -1 | 0 | 28 | 2 | 4 | 112 |
| 73 | 3 | -1 | 219 | 0 | 2 | 4 | 438 |
| -76 | 3 | -1 | 0 | 76 | 2 | 4 | 304 |
| 71 | 3 | -1 | 213 | 0 | 2 | 4 | 426 |
| 11 | 3 | -1 | 33 | 0 | 2 | 4 | 66 |
| -5 | 3 | -1 | 0 | 5 | 2 | 4 | 20 |
| -61 | 3 | -1 | 0 | 61 | 2 | 4 | 244 |
| Optimal Weights | ||||
| W11 | 3.883655516 | W21 | 1.54493078 | |
| W12 | -1.499246109 | W22 | 2.667997907 | |