Neural network C++ Guided project tutorial

Neural network Simulator design in C++ Guided project

Created by: Ezeuko Emmanuel
Computer engineer

What Will I 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

Requirements

• Theoritical Understanding of neural network, feed forward and back propagation
• Basic knowledge of C++ is required

Target audience

• All levels C++ developer