PyTorch Beginner Tutorial - Training an Image Classification Model and putting it online!

[@moezzaasif2593]

The explanation about the weights is sooo amazing. 👍🏻 Finally someone explains it in simple words

[@markusbuchholz3518]

Awesome channel, consistent information and extraordinary performance. Great to be a part of this great community. I am very happy you Sebastian has created something specials. Thanks. Have a nice day!

[@DodaGarcia]

I've been desperately looking for a legitimately beginner-friendly channel on machine learning, so glad I found yours!!

[@debarunkumer2019]

Wow owow......u have implemented ur training model using the fastai framework. I just bunked in this video out of sheer luck. There is hardly any videos on cnn that trains a model using fastai framework. Please please upload more videos of this kind. Looking forward to it. Cheers!!!

[@chamber3593]

Thank you for this video, You make learning fun. Keep making such videos pls

[@CastleBomber]

got everything up till the very end with Docker. still ongoing with it but not as straight out of the box as could be

[@orsimhon133]

We want more ML Agents :)

[@RockyMedure]

Thank you so much for this video!!!

[@tenzinnamdhak]

When we upload the image of Churros, does the dimension has to be 224 x 224? Coz I just uploaded churros image of different dimension and it is giving me Samosa answer even though it is churro pic.

[@corkfilms]

Great beginners tutorial . Thank you so much!

[@nemoland426]

I've tried to use my own datasets but the error kept on coming up What could possibly go wrong here? #I only change the path dls = ImageDataLoaders.from_name_func( mixed_path, get_image_files(mixed_path), valid_pct=0.05, seed=420, label_func=GetLabel, item_tfms=Resize(256)) dls.train.show_batch() #That's the error TypeError Traceback (most recent call last) in () 1 dls = ImageDataLoaders.from_name_func( 2 mixed_path, get_image_files(mixed_path), valid_pct=0.05, seed=420, ----> 3 label_func=GetLabel, item_tfms=Resize(256)) 4 5 dls.train.show_batch() 9 frames /usr/local/lib/python3.6/dist-packages/fastai/data/core.py in setup(self, train_setup) 258 x = f(x) 259 self.types.append(type(x)) --> 260 types = L(t if is_listy(t) else [t] for t in self.types).concat().unique() 261 self.pretty_types = ' '.join([f' - {t}' for t in types]) 262 TypeError: 'NoneType' object is not iterable

[@muhammaduseram9405]

can we do this multiple like 9-10 classes?

[@corkfilms]

Hi Sebastian. On my live server, Upload returns same image when classify button is pressed but no actual result. Is this an error in the code or have i missed a step?

[@samuelemonasterolo4634]

Amazing🔥

[@idleXgang]

Man you are awesome!

[@Qwernasivob]

Thank you!

[@skinnyboystudios9722]

How many rtx3090s do you need to train your own AlphaZero in a , week, two weeks or a month?

[@skinnyboystudios9722]

@@sps014 Yes I already know that but you are not answering my question

[@skinnyboystudios9722]

@@sps014 can you show calculation that it is not possible or are you just guessing?

[@skinnyboystudios9722]

@@sps014 You are still not answering the question... If you don't know the answer why are you bothering answering and adding lot of noise to the simple question... Let me rephrase my question... Assuming you have a perfect model of Alpha Zero, the one David Silver built. How many gtx3090s do you need train the model in a week? How many do you need to train in two weeks? a month? I fully understand computer science so I do mind details. Thank you

[@GamerAlphaInd]

This ain't good place to ask , get some brain.

[@sonicdev599]

Lol people still ask questions in comment section, lot of stupidity on display.