hadrienj/deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deeplearningbook-notes's Issues

new notes of chapter 3/4/5?

Hi there,
thanks for this great notes about linear algebra chapter in deep learning book with vivid python code. will you think about writing notes of chapter 3/4/5 to help us get better understanding of math behind AI?
Thanks.

output_44_0.png not accessible; link broken

https://github.com/hadrienj/deepLearningBook-Notes/blob/master/2.9%20The%20Moore-Penrose%20Pseudoinverse/images/output_44_0.png

When will be the rest notes of chapter 3?

Hi, @hadrienj, Thanks for your crystal clear notes! I think your notes are more clear than most textbooks, When will you write the notes for 3.6-3.14 of chapter 3?

[feature request] Proof of xT⋅y = ‖x‖⋅‖y‖⋅cosθ

Hi @hadrienj,

If you think this is relevant I would like to add this proof in subsection 2.5.

Extract col in "2.6 Special Kinds of Matrices and Vectors"

Code in Example 8:
col0 = A[:, 0].reshape(A[:, 0].shape[0], 1)
col1 = A[:, 1].reshape(A[:, 1].shape[0], 1)
row0 = A[0, :].reshape(A[0, :].shape[0], 1)
row1 = A[1, :].reshape(A[1, :].shape[0], 1)

can be more simple like:
col0 = A[:, [0]]
col1 = A[:, [1]]
row0 = A[0].reshape(A.shape[1], 1)
row1 = A[1].reshape(A.shape[1], 1)

How these schematic diagram are drawed?

Hi, I quite like your note, and the diagram you draw looks really intuitive and comfortable. I would like to know what software you use to draw these images and any suggestions on how to draw nice looking image.