Neural network C++ Guided project tutorial
Neural network Simulator design in C++ Guided project
4.65 (24 reviews)
125
students
2 hours
content
Jan 2023
last update
$39.99
regular price
What you will learn
The student will learn how to design the structure of a neural network including its neurons, bias, input layer, hidden layers, output layers and weights
The student will have a clear understanding of how the feed forward mechanism is used to shift inputs from the input layer through the output layer
The student will learn how to calculate the Root Mean Square error, output and hidden gradient, transfer function and the derivatives for a neural network
The student will also carryout back propagation on a neural network after the feed forward and use it for adjusting the weights of the neurons.
The student will learn how to generate training samples
Related Topics
5022054
udemy ID
12/12/2022
course created date
12/23/2022
course indexed date
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