January 2019
Intermediate to advanced
294 pages
6h 43m
English
Content preview from Machine Learning Quick Reference
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Deep neural network notation
The explanation of the notation is as follows:
- l: Number of layers is 4
- n[l]: Number of nodes in layer l
For the following architecture, this is as follows:
- n [0]: Number of nodes in input layer, that is, 3
- n [1]: 5
- n [2]: 5
- n [3]: 3
- n [4]: 1
- a [l]: Activations in layer l:
As we already know, the following equation goes through the layers:
z = wTX + b
Hence, we get the following results:
- Activation: a = σ(z)
- w[l]: Weight in layer l
- b[l]: Bias in layer l
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