LMU Summer Semester 2018 Machine Learning Tutorial Materials
View the Project on GitHub changkun/ss18-machine-learning-tutorial
a)
N/A
b)
$\sup{\hat{y}} = \sum_{h=0}^{M_\phi - 1}{w_h}$, $\inf{\hat{y}} = w_0$
c)
$\hat{y} = w_0 + 0.5 \sum_{h=0}^{M_\phi - 1}{w_h}$
$\hat{y} = w_0 + \frac{1}{1+\exp(1+x)}\sum_{h=0}^{M_\phi - 1}{w_h} = \text{offset} + \text{sigmoid_transformation} \times \text{weights_factor}$
Left:
0 0 0 0 1 1 1 1 0 0 0 0
0 0 1 1 0 0 -1 -1 0 0
0 0 -1 -1 0 0 1 1 0 0
0 1 0 -1 0
0 -1 0 1 0
0 -4 0
0.99 0.01
Right:
1 1 1 1 0 0 0 0 1 1 1 1
0 0 -1 -1 0 0 1 1 0 0
0 0 1 1 0 0 -1 -1 0 0
0 -1 0 1 0
0 1 0 -1 0
0 4 0
0.01 0.99