January 2019
Intermediate to advanced
294 pages
6h 43m
English
Content preview from Machine Learning Quick Reference
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Calculation of activation for H1
Let's have a look at the part of network involving just H1:
The hidden layer comes out as in the following formula:
Where:
- A: Activation function
- xi: Input values
- wi: Weight values
In our scenario, there are three input values, n=3:
- x1 = I1 = Input value 1 from first neuron
- x2 = I2= Input value 2 from second neuron
- x3 = B1 = 1
- w1 = Weight from I1 to H1
- w2 = Weight from I2 to H1
- w3 = Weight from B1 to H1
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