In C2_W1_Assignment, section 2.3 Model representation, I don’t understand how the sizes of W1, W2, W3, b1, b2 & b3 calculated? [Screenshot 2024-07-24 at 1.40.48 AM]

The rules are given to you :wink: [image] For the first layer, s_{in} is the number of features of your samples.

Didn't understand the lab explanation of resultant matrix W

rmwkwok July 24, 2024, 3:13am 3

The rules are given to you

For the first layer, s_{in} is the number of features of your samples.

Topic		Replies	Views
Size of W in [9] in C2_W1_Lab02_CoffeeRoasting_TF? Advanced Learning Algorithms week-module-1	5	570	October 19, 2022
Where in the course do I find this? Advanced Learning Algorithms week-module-1	1	337	September 21, 2023
General implementation of forward propagation - units =3? Advanced Learning Algorithms week-module-1	1	468	December 31, 2022
Wk 2: How to determine size of W while initializing Neural Networks and Deep Learning coursera-platform	2	519	October 8, 2022
How is W shape (3,1) and not (1,3)? Advanced Learning Algorithms week-module-1	9	394	September 26, 2023