New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Zh shape #99

Open

leosilberg opened this issue Apr 15, 2020 · 1 comment

leosilberg commented Apr 15, 2020

X	Input	(3, 1)	Includes 3 rows of training data, and each row has 1 attribute (height, price, etc.)

Zh	Hidden weighted input	(1, 2)	Computed by taking the dot product of X and Wh. The dimensions (1,2) are required by the rules of matrix multiplication. Zh takes the rows of in the inputs matrix and the columns of weights matrix. We then add the hidden layer bias matrix Bh.

https://github.com/bfortuner/ml-glossary/blob/master/docs/forwardpropagation.rst#id15

Should the Zh shape not be (3,2)?

omridrori commented Dec 11, 2020

ya i also saw that and got confused.
for sure there is a problem there because as it is the dot product is undefined.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment