Reference no: EM133071067

DSC-550 Neural Networks and Deep Learning - Grand Canyon University

Project
Starting with a single neuron and with single layer of neurons, generate the transfer function of a multiple layer network.Examine the inside of the artificial neural network, devise a transfer function for each layer, briefly research how a topology can be obtained, analyze recurrent neural networks, and investigate forward propagation, cost function, and backward propagation.

Consider the following multilayer neural network with the transfer function for each layer:

Where satlin is defined by:

And purelinis defined as:

Using Python and the correspondent libraries, sketch the following responses (plot the indicated variable versus p for (-3< p<3)).
Given that

w_1,1¹=2, w_2.1¹=1, b₁¹=2, b₂¹=-1, w_1,1²=1, w_1,2²=-1, b₁²=0

i. n₁¹.
ii. a₁¹.
iii. n₁².
iv. a₂¹.
v. n₁².
vi. a₁².

Attachment:- Neural Networks and Deep Learning.rar