T O P
1VentiChloroform

What is that machine even supposed to do? Is that dough


itscarlayall

Cheese fondue no?


1VentiChloroform

ah, I wouldn't know not much of a cheese guy


TokesBruh

In Korea, they spice up food by adding melted cheese to the mix. For their chicken (which he's eating it seems), BBQ, and so on. And I miss it...


TobyWasBestSpiderMan

[Meanwhile, the tutorials](https://twitter.com/jabde6/status/1371868865236328452?s=21)


Tyrone_Tyronson

This is more accurate than it has any right to be


Tintin_Quarentino

"no holdout set" means that splitting your data into 80:20 = training:test sets right?


afatsumcha

That’s the general idea, but there are plenty of approaches beyond 80:20 :: training:testing. Look into [cross validation](https://en.wikipedia.org/wiki/Cross-validation_(statistics)) for more


Tintin_Quarentino

Thanks m8


hughperman

Usually it's a subset of data, or different dataset, which is never seen during optimization (which has its own data training/test splits), and used once the model is trained as the final test for e.g. model accuracy.


Tintin_Quarentino

Ooh darn that's totally different from what i Thought. Thanks m8!


meldiwin

This cracked me, thanks for making me laugh so hard.


CamiBB

I'm laughing so hard damn such a bad luck


Temporary-Resolve-32

“Helicopter helicopter-“


LegacyAngel

why is the dude about to cry though?


_Shiota

To be honest, id cry too if my food was wasted like that


Thud2

These things called "jokes" are sometimes not within the realm of understanding for certain individuals.


Creat0rByte

Muckbangers typically aren’t the most stable people if you know what I mean


bitemenow999

Well the TensorFlow thing resonated with me... Who uses TF? I mean I like it if I am doing something fancy like make new layer or something but for normal regular stuff PyTorch FTW


captainRubik_

Why wouldn't you use Pytorch for creating new layers/stuff? I'm curious.


bitemenow999

Well, it supports static graphs, had historically more support when I started out PyTorch was rather basic... also it has a larger community compared to PyTorch especially in one of the fields I work (3D differentiable geometry and stochastic physics), save me loads of time to use existing code and modify existing layers, also in my experience I have found it easier to write a new type of layers in tf (like modified SNNs)...


cheddacheese148

I’m an ML architect and I use both on a daily basis. If I couldn’t then I’m limiting the number of libraries, tools, and models at my disposal. Keras is dead simple to use as well.


bitemenow999

Pytorch and TF both literally do the same thing... Sure there are minor differences but it's the same thing... Not sure how preferring one thing over another would-be limiting... Also no one doing serious ML uses keras, it simply is too limiting


MrHyperbowl

Using Tensorflow was also my first mistake.


liegesmash

Looks like an Amazon product


cr3am-p1e

u/savevideobot


savevideobot

###[View link](https://redditsave.com/info?url=/r/MachineLearning/comments/r3vmfs/d_trying_machine_learning_for_the_first_time_what/) --- [**Info**](https://np.reddit.com/user/SaveVideo/comments/jv323v/info/) | [**Feedback**](https://np.reddit.com/message/compose/?to=Kryptonh&subject=Feedback for savevideo) | [**Donate**](https://ko-fi.com/getvideo) | [**DMCA**](https://np.reddit.com/message/compose/?to=Kryptonh&subject=Content removal request for savevideo&message=https://np.reddit.com//r/MachineLearning/comments/r3vmfs/d_trying_machine_learning_for_the_first_time_what/)


plexust

[He did eventually get this fondue fountain working, fwiw.](https://youtu.be/9X_K9pBjDEQ?t=395)


PanTheRiceMan

Three years in, just about start getting it. Still feel like this poor guy every now and then.


mtnmedic64

Well, that escalated quickly.


Amazing_NickName

It's more like trying to install tensorflow to run on nvidia gpu. Thinking about all this hours i spent trying to install cuda and cudnn on windows and linux makes me sad