May 2018
Beginner to intermediate
384 pages
10h 19m
English
book
Artificial Intelligence for Big Data
by Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
Content preview from Artificial Intelligence for Big Data
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Backpropagation model
The backpropagation model can be conceptually represented as follows:
Figure 4.16: Backpropagation model
The backpropagation algorithm can easily be implemented in a staged manner. This is computationally less demanding compared to the gradient descent:
- Initialize the model: In this step, the model is randomly initialized to a point where the weights are selected with mathematical approximation and randomness. This is the first step in the feed-forward network.
- Propagate forward: In this step, all the input units, hidden units, and the output units are activated after adding the sum of the products of the neuron units ...
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