u/Cultural_Page_6126

Aja sathi haru sanga duldai thiye and saw like some freshers guys walking the same way laughing hysterically and stuff.

And i got so jealous like they still have 4 fucking years here, and aafno ta jamma 1 barsa matra baki xa.

Like 1st 2nd year tira kya ramilo garinthyo, then shit got serious padhai ra academics wise, but god do i love this place, aba ek barsa ni xaina sochda kasto kasto lagxa.

Never felt like this about any place but dhulikhel ko dherai maya lagxa.Anyway fresher enjoy your time here. Maja garnu 1st 2nd year tira.

Please forgive me if it gets repetitive, i just saw the movie and i wanna tell what i think to someone but no ones with me at the moment and its pretty late at night so i am writing here.

Interpretation no. 1:

I think what Nolan wanted to express was the fact that Odysseus was the only man to walk out from the voices of the sirens (and as i know the sirens die after that but it wasn't in the movie), if we were able to hear the sirens it would mean that Odysseus wouldn't be the one and only person to lived after listening the sirens.

Interpretation no. 2(the boring one):

I think us the viewers not being able to hear the siren was the fact that what Odysseus described about the sounds of sirens as "everything you ever wanted, and something along the lines of that... " can never be recreated at all, like people would quickly jump to critique the music (i think is what the sirens produced) was never able to capture what Odysseus described it as. Even if Mozart made the music for this movie it still wouldn't be quite near to what Odysseus had described about the sirens

I fucking loved it.

The visuals are top notch. Agamemnon waiting menacingly behinds the gates of troys before it falls down, the joy in the eyes of Menelaus and Odysseus after ten long years of waiting to penetrate the walls of troy, the imagery of soldiers chopping off the head of Athena while her statue get beheaded, the last conversation between Odysseus and Penelope were few examples of how good the movie was.
The sound effects and everything was great. Don't know what people were so pissed off about in the trailers.

Guys kura k vayo vane football herna maja aaudo raixa ani laliga ni aaudai raixa hana, suggest me some iconic football matches that i should watch

Like school bata niskeko 5 saal vayo fuck that school. College thik xa baru, school ta mula !!!!!

I am building a website which has image object detection features, right now i am asking user to upload their images and storing it in cloudinary , i also wanna make it so that the users can upload their images which are in their google drive which are set to public mode. How do i do that . I have used better auth which integrates with openAuth for google login . How do i connect it like that.

Network build garna hackathon janu paryo , feri hackathon mai jo entry midaina jaile rejected ps. some other hackathons want us to have good background and all like past hackathons haru mention garna vanxa. Frustrate vai raxa. Kati sochyo idea haru ani testai hunxa.

Well i was learning machine learning model from "hands on machine learning" book. I was doing all the implementation of linear regression , softmax regression from scratch, however when i entered the SVM chapter it really didn't talk much about the implementation or the maths behind it. Having taken advanced calculus and linear algebra in my first and fourth semester i thought the math wouldn't be hard so i started to read the "Mathematics for Machine Learning" book i went into the SVM chapter and read through the chapter honestly the math didn't scare me off and i implemented the loss function view of primal SVM, then when i had to implement the Dual Support Vector Machine i couldn't do it.

Googled a bit and stumbled across a method called SMO for quadratic programming problems. I read through this one paper from microsoft. Honestly i understood the steps and how to do it but i didn't for the love of god understand why it was done a certain way. I did implement it using the pseudo code they had lying around in that paper ,however i couldn't understand the reason behind those steps.

So what should i do about it. Should i go back and try to understand it. Is it bad that i was afraid of the complexity of the algorithm ?

Or, maybe a widget for github profile's contribution graph.