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Neural Nets: Practicing neural net error prop & learning
(NN Assignment # 1)
Given the following initial network configuration and target function, name the weights of the network after one full epoch, when using incremental learning
Work alone for this exercise.
Target Function: XOR w/ two inputs
| Input 1 | Input 2 | Output |
|---|---|---|
| 0 | 0 | 0 |
| 0 | 1 | 1 |
| 1 | 0 | 1 |
| 1 | 1 | 0 |
- Input nodes: 2
- Hidden Layers: 1, Hidden nodes: 2
- Output nodes: 1
- I1: 1, I2: 0
- Weights: -0.37, 0.26, 0.10, -0.24; -0.01, -0.05
- α : 0.2
- All θ (or bias) : 0
| Connection | Weight |
|---|---|
| WI1H1(t+1) | |
| WI1H2(t+1) | |
| WI2H1(t+1) | |
| WI2H2(t+1) | |
| WH1O1(t+1) | |
| WH2O1(t+1) |