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Machine Learning and AI with Simple Python and Matlab Scripts
book

Machine Learning and AI with Simple Python and Matlab Scripts

by M. Umit Uyar
April 2025
Intermediate
384 pages
11h 15m
English
Wiley-IEEE Press
Content preview from Machine Learning and AI with Simple Python and Matlab Scripts

Appendix CBack Propagation in a CNN

Figure C.1 shows the ANN used in the example presented in Chapter 7. This fully‐connected ANN has left-parenthesis 8 x Baseline 4 right-parenthesis synapses between the inputs and hidden layer (i.e. StartAbsoluteValue upper W Superscript left-parenthesis 1 right-parenthesis Baseline EndAbsoluteValue equals 32) and left-parenthesis 1 x Baseline 4 right-parenthesis for bias (i.e. StartAbsoluteValue upper B Superscript left-parenthesis 1 right-parenthesis Baseline EndAbsoluteValue equals 4), and left-parenthesis 4 x Baseline 2 right-parenthesis neurons between the hidden layer and the output layer (i.e. StartAbsoluteValue upper W Superscript left-parenthesis 2 right-parenthesis Baseline EndAbsoluteValue equals 8) and left-parenthesis 1 x Baseline 2 right-parenthesis for bias (i.e. StartAbsoluteValue upper B Superscript left-parenthesis 2 right-parenthesis Baseline EndAbsoluteValue equals 2).

A diagram showing a neural network with input features x_1 to x_8 leading to two output nodes Y_1 and Y_2. The outputs indicate classifications for diagrams as either 'O' or 'X' based on the respective conditions.

Figure C.1 Fully‐connected ANN used in CNN for this example with left-parenthesis 8 x Baseline 4 right-parenthesis synapses between the inputs and hidden layer (i.e. ) and for bias (i.e. ), and neurons between the hidden layer and the output ...

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Publisher Resources

ISBN: 9781394294954