May 2018
Beginner
490 pages
13h 16m
English
The hidden layer contains a multiplication function of weights and an addition of biases, as shown in the following diagram:

The input is sent to the multiplication function along with the weights. Thus x1 and x2 will be multiplied by the weights as explained in Chapter 4, Become an Unconventional Innovator. In this model, the bias variable is added to the result of the multiplications to each of the hidden neurons (one for each x). Go back to Chapter 4, Become an Unconventional Innovator, again to see the low-level mechanics of the system if necessary.
Bear in mind that there ...
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