January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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The backpropagation algorithm
Let's first gain a little understanding of the technique behind the backpropagation algorithm. If you remember from the previous section, the loss function at the output neuron is as follows:
You can see that it's unchanged, and so the weight connecting hidden neuron k to the output neuron j would be given as follows:
Applying the chain rule of differentiation, this reduces to the following:
In the preceding equation, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.