C2_W1_Assignment - Question on Line of Code

Course Q&A Machine Learning Specialization Advanced Learning Algorithms
1

On the initial version of notebook for Week 1 Assignment, there is this following line of code (13th cell code):

print(model.layers[2].weights)

This line when executed displays the weights, and I actually do understand these are the bias for that layer, but I have no idea where they come from if no input data has been fit to the model prior to this line. Can someone shed some light ? Are these initial guessed values ? Which line of code produced these weights ?

2

Hi @AlexPorto

Welcome to the community!

The weights W are random normalize values and the gradient descent adjust these weights, the initial values create in the class dense as the constructor initialize the weights W by default ‘‘glorot_uniform’’ initial value from Uniform distribution and the bias value by default initialize with zeros

Note you can change these default way to initialize the weights

Cheers,
Abdelrahman

3

Abdelrhaman,

Thanks for your thorough explanation, got it now!

4

You are welcome!

Cheers,
Abdelrahman