The Math of Neural Networks Taylor MichaelPaperback
The Math of Neural Networks Taylor MichaelPaperback There are many reasons why neural networks fascinate us and have captivated headlines in recent years. Heck, they can even generate encryption.…
Specifikacia The Math of Neural Networks Taylor MichaelPaperback
The Math of Neural Networks Taylor MichaelPaperback
There are many reasons why neural networks fascinate us and have captivated headlines in recent years. Heck, they can even generate encryption. They make web searches better, organize photos, and are even used in speech translation.
What goes on inside a neural network? At the same time, they are also mysterious and mind-bending: how exactly do they accomplish these things ? On a high level, a network learns just like we do, through trial and error.
This is true regardless if the network is supervised, unsupervised, or semi-supervised. Once we dig a bit deeper though, we discover that a handful of mathematical functions play a major role in the trial and error process. It also becomes clear that a grasp of the underlying mathematics helps clarify how a network learns.
In the following chapters we will unpack the mathematics that drive a neural network. To do this, we will use a
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