Nietzsche notes! lesson 6


(Amrit ) #1

Hi all I wanted to share my lesson 6 notes. As @timlee mentioned alot to cover in this lesson. I hope this will be of benefit to some. :grin:

lesson6-rnn_notes.pdf (1.4 MB)















Wiki: Lesson 6
Part 2 lesson 11 wiki
Deep Learning Brasília - Lição 6
(Jeremy Howard) #2

Very nice! Maybe add a link here from the wiki thread?


(Amrit ) #3

Done! :grinning:


(Vishal Pandey) #4

It was Cool… Thanks @amritv for ur effort…


(Brian Holland) #5

If you don’t mind an ignorant question, how do you make these? Do you take notes during the live feed? Do you re-watch the video and make notes? Do you make your own notes like this? Is there a special/specific app you use for these type of notes?


(Amrit ) #6

@bhollan, I make the notes after re-watching the videos. Making these notes helps me better understand the code and I also use this process for other stuff. No special apps, I use acrobat pro, save the ipynb as an html and then use acrobat pro to save as a .pdf. Acrobat allows the use of the pen or finger to annotate the notes. Hope that helps.


(Brian Holland) #7

Yup! Thanks!


(David Bressler) #8

You might want to update your notes for the multi-output model loss function evaluator. At 2:03:20 Jeremy says that nh is 256. However, at 2:05:20 he says that nh is 84. I checked, and the correct size is 84 (which makes sense since you’re evaluating the loss on your prediction of 1 of 84 classes).


(Amrit ) #9

@DavidBressler thanks for the info. Ill update this as soon as i can. :+1: