The code demonstrated this video can be downloaded here: lightning.ai/lightning-ai/studios/statquest-introduction-to-coding-neural-networks-with-pytorch?view=public§ion=all To learn more about Lightning: lightning.ai/ This StatQuest assumes that you are already familiar with... Neural Networks: kzread.info/dash/bejne/daWDyMttYa_MdNo.html Backpropagation: kzread.info/dash/bejne/e4Jmus97mKyypJc.html The ReLU Activation Function: kzread.info/dash/bejne/aGx2vJefZ7OfZKg.html Tensors: kzread.info/dash/bejne/fmdpyKh9oNqvfZc.html To install PyTorch see: pytorch.org/get-started/locally/ To install matplotlib, see: matplotlib.org/stable/users/getting_started/ To install seaborn, see: seaborn.pydata.org/installing.html Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/

@yongjiewang9686

2 жыл бұрын

REALLY Hope you can continue with this PyTorch tutorial.

@statquest

2 жыл бұрын

@@yongjiewang9686 Will do!

@shichengguo8064

2 жыл бұрын

Do we have video talking about transformer? Thanks.

@statquest

2 жыл бұрын

@@shichengguo8064 Not yet, but soon.

@Mayur7Garg

Жыл бұрын

Just a small comment. Any variable should not be named similar to any builtin in Python. The 'input' variable in forward should have been called something else since it is already a builtin function in Python. Otherwise, you end up overriding the builtin within that scope.

Favorite teacher with my favorite Deep learning framework. Lucky to have you. Thanks brother🙏

@statquest

2 жыл бұрын

Wow, thanks

Please continue to go through every single line of code including the parameters with excruciating detail like you do. None of my professors went over each line like that cuz they always "assumed we already knew" and everyone in the class who didnt already know was afraid to ask to avoid looking stupid. Thank you.

@statquest

2 жыл бұрын

Thanks! Will do!

Thanks for the awesome tutorial! You make the most difficult things so easy to understand, specially with the visuals and the arrows and all! The comments written on the right hand side make it so more helpful to pause and absorb. I would never miss a video of your tutorials!

@statquest

2 жыл бұрын

Hooray! I'm glad you like my videos. :)

Thanks so much for this gem John! Literally got a PyTorch project coming up and your timing is just perfect. Greatly appreciate the content, keep up the good work :)

@statquest

2 жыл бұрын

Thank you!

Ive used PyTorch for projects before, but I can honestly say that I never fully understood the workings of building a model. I knew that i needed the peices you mentioned, but not why I needed them. You've just explained it incredibly. Please don't stop making this series!!

@statquest

2 жыл бұрын

Thank you very much! :)

What a great feeling when it all clicks after learning about all these concepts in isolation. All thanks to an incredibly brilliant teacher! Triple BAM!!!

@statquest

2 жыл бұрын

Hooray!!! Thank you!

What a blessing this is. You are indeed the Richard Feynman of Data Science.

@statquest

2 жыл бұрын

Thank you!

AMAZING video. This is exactly what beginners need to start the Pytorch journey with a semi solid footing instead of mindless copying. Yoy must have spent so much time for your AWESOME videos. GREATLY appreciate your effort. Keep up the good work.

@statquest

Жыл бұрын

Thank you very much! :)

Thanks for the best content you bring. I hope you continue to make a full pytorch playlist

@statquest

2 жыл бұрын

That's the plan!

@footballistaedit25

2 жыл бұрын

@@statquest Thank you so much

Man, you are love. I started my neural net journey from your videos and it's the best decision I made. Thank you

@statquest

2 жыл бұрын

Hooray!

StatQuest is the GOAT in statistics, machine learning, and deep learning! You're videos are really helping me understanding the concepts and outline of these fields! Love from Korea!

@statquest

5 ай бұрын

Thank you!

YOU ARE THE BEST TEACHER EVER JOSHH!! I wish you can feel the raw feeling we feel when we watch your videos

@statquest

9 ай бұрын

Thank you?

Was looking for a pytorch resource and was disappointed when this channel didnt have one yet but then this got uploaded. Really a blessing to the people haha

@statquest

2 жыл бұрын

Thanks!

That's really cool explanation! Please continue this PyTorch series, we really need it. BAM!

@statquest

11 ай бұрын

Will do!

Quality educational content! It's so cool to see your channel grow. Been here since ~90k subs! Very well earned.

@statquest

2 жыл бұрын

Wow! Thank you very much!!! BAM! :)

Great explanation as always! Thanks for making content like this, which complements the theoretical concepts.

@statquest

2 жыл бұрын

Glad you liked it!

This series about neural networks and deep learning is very well explained. Thank you soooooooo much.

@statquest

Жыл бұрын

Thank you!

Amazing content, as always. Before I was a bit afraid to start closing in torch, so thank you to encourage le to do that!

@statquest

2 жыл бұрын

bam! You can do it! :)

Thank you so much, Josh. I have been learning PyTorch and deep learning. This video helps me a lot!

@statquest

2 жыл бұрын

Great to hear!

Thank you very much! I am new to Deep Learning. I can say that just in one week i learned a lot of things from your tutorials!

@statquest

Жыл бұрын

Happy to hear that!

BIG LIKE before watching 👍🏻 please continue the pytorch series

@statquest

2 жыл бұрын

Will do! :)

I have lived long enough to watch videos and understand nothing about ML stuffs, until I saw your videos. I truly wish your well being

@statquest

9 ай бұрын

Thank you!

Thank you Josh, pls continue this series of pytorch!

@statquest

2 жыл бұрын

Will do!

Looking forward to seeing your following videos! Excellent explanation!

@statquest

Жыл бұрын

Awesome, thank you!

Nice video, looking forward to the next ones on Pytorch Lightning !

@statquest

2 жыл бұрын

Me too! BAM! :)

thanks Josh, you really make understanding Neural Networks concepts a great process!

@statquest

Жыл бұрын

Thank you! :)

Wonderful !!! Cant wait your pytorch lightning code for NN. Always thanks alot !!

@statquest

2 жыл бұрын

bam! :)

Hello! Not sure if anyone's pointed this out yet, but the code on 10:14, 12:09, and 22:42 needs a small addition, `plt.show()`, or else it won't show the graph. Though, maybe 2 years ago when this video was made you didn't need that, I'm not sure, haha. Other than that, this is an awesome tutorial that quite literally takes anyone through the process step-by-step, and even tells you some neat fun facts (like the sns nickname) and explanations like how `loss.backward()` works. TRIPLE BAM indeed! Thanks for the awesome tutorials and videos you put out 👍

@statquest

Ай бұрын

Thanks! Did you run my code or type it in yourself? I keep the jupyter notebook updated.

I love how you you visualize and synchronize the code with the maths behind it :) On top of that you are doing it step-wise which results in a really awesome and very eduSupercalifragilisticexpialidociouscational video! #ThankYou

@statquest

8 ай бұрын

I love it. Thank you very much! :)

Man the content keeps getting better

@statquest

2 жыл бұрын

Thank you!

Woo! Been waiting for this sort of a tutorial!!!

@statquest

2 жыл бұрын

bam!

Another charming, fully informative masterpiece.

@statquest

Жыл бұрын

Thank you very much! BAM! :)

It amazes me, when I see no NLP video on StatQuest! Josh your explanation are always higher than what one can expect and you have created so many series including maths and conceptual understanding. NLP has the same importance compared to computer vision and actually people are suffering to learn it by lack of content availability! I hope you would create a series or maybe a few videos on basic concepts which help people to get interested in NLP : ) Hope you are doing good in life Josh

@statquest

2 жыл бұрын

I'm working on NLP.

@vans4lyf2013

2 жыл бұрын

@@statquest Yay so glad to hear this, we really need you because no one gives great explanations like you do. Also your youtube comments are the nicest I've ever seen which is a testament to how valued you are in this community.

@statquest

2 жыл бұрын

@@vans4lyf2013 Thank you very much!

Hi! This is amazing. Are you gonna continue this series? Out of ten different rabbitholes I have been to, this video has been the most helpful for me with understanding PyTorch and starting off with my project. Please continue making more complicated models. Thank you :)

@statquest

2 жыл бұрын

That's the plan!

The tutorial we all needed 🙂

@statquest

2 жыл бұрын

Hooray!

Wow 😮 I didn't knew I had to watch the *Neural Networks part 2* before I can watch the *The StatQuest Introduction To PyTorch* before I can watch the *Introduction to coding neural networks with PyTorch and Lightning* 🌩️ (it’s something related to the cloud I understand) I am genuinely so happy to learn about that stuff with you Josh❤ I will go watch the other videos first and then I will back propagate to this video...

@statquest

Жыл бұрын

Warmer...

very well explained, thank you for providing quality content, it's very helpful

@statquest

2 жыл бұрын

Glad it was helpful!

I love you Josh. God bless you. You're my favorite teacher.

@statquest

Жыл бұрын

Thank you! 😃!

finally! some simple to understand content on how to make an AI model using pytourch!!! TRIPLE BAM!!!!

@statquest

2 жыл бұрын

Hooray!

Just watched matrix multiplication of Transformers. My mind was blown away. Same things appear so complex but when this guy explains them, it's like peanuts. Triple BAM

@statquest

Ай бұрын

Bam! :)

Thanks for this amazing walk through.

@statquest

Жыл бұрын

Thanks!

it's great that you are making videos on coding as well.

@statquest

Жыл бұрын

Thank you!

Absolutely brilliant!

@statquest

Жыл бұрын

Thank you! :)

I am someone who loves *SQ,* and *JS* style of teaching in byte 😅 pieces but I also hate _snakes…_ I love *JavaScript* and *TypeScript* but I’ve been learning *JavaScript* with the _strictest linting rules_ one would imagine… and given how *JavaScript* could be used without any sort of strict rules (and is very similar to *Python* in this context) it is frustrating that it makes *Python* very hard to understand despite being easier since it has not the same stricter rules I have imposed myself learning *JavaScript…* but I am also genuinely grateful that *JS* is the best instructor for this kind of topics because *JS* has a _Ukulele,_ *StatSquatch* and *Normalsaurus* which are all there to help *JS* make *SQ* awesome 🎉🎉🎉🎉 Thanks 😅😅😅❤

@statquest

4 ай бұрын

bam!

Awesome vid by the legend!

@statquest

2 жыл бұрын

Thank you!

omg! I have really wanted this! awesome!!! :) :) :)

@statquest

2 жыл бұрын

Hooray! :)

great video! very well explained!!!👍👍

@statquest

2 жыл бұрын

Thank you!

Great explanation. Thank you very much

@statquest

2 ай бұрын

Thanks!

Great series.

@statquest

Жыл бұрын

Thank you!

That is a big leap. I need to check it several times to understand it since I am not a programmer. However, I really got a good feeling of what is happening inside the code. I actually use codeless systems such as KNIME. So if Mr. Sasquatch, get the idea of using KNIME to explain all this, It will be amazing. Thanks to be such a good teacher.

@statquest

2 жыл бұрын

I'll keep that in mind.

Thank you for perfect lecture~!!!

@statquest

2 жыл бұрын

Thank you!

great video and explanation! me have been struggling in pytorch coding

@statquest

2 жыл бұрын

Bam! :)

That Was Nice ! Thank You

@statquest

10 ай бұрын

Glad you liked it!

bless josh and this channel

@statquest

2 жыл бұрын

Thank you!

Hello Josh! Thank you so much for your amazing videos! I have learned so much from your tutorials and would not have been able to advance without them! I wanted to ask whether it is possible for you to put some videos on times series analysis, including autoregression (AR), moving average (MA) and their combinations. I would be more than grateful if you can provide such a video. Thank you so much.

@statquest

2 жыл бұрын

I'll keep those topics in mind!

Thank you very much Mr Josh Starmer

@statquest

2 жыл бұрын

Thanks!

Hey Josh! Guess what just arrived in the mail.... My new statquest mug!!!!! Hooray!!!

@statquest

2 жыл бұрын

BAM!!! Thank you so much for supporting StatQuest!!!

Another excellent video, one humble request please provide video on Stable Diffusion Models.

@statquest

10 ай бұрын

I'll keep that in mind.

I am also learning Deep Learning, and want to apply it to make good projects, This is going to be great.

@statquest

2 жыл бұрын

bam!

Thank you Josh!

@statquest

2 жыл бұрын

Bam!

Guess who was going to start programing a neural network in python today...... God bless you Josh, becase He know how much you are blessing me with your work. And know that Jesus loves you and want to be part of your life.

@statquest

2 жыл бұрын

Thanks!

wow.. super excited

@statquest

2 жыл бұрын

Hooray!

Best tutorial like usual! would be nice to see more advanced examples of in pytorch, like CNN for image classification :)

@statquest

Жыл бұрын

I'm working on them.

Enjoying this series on machine learning. By the way there is no shame in self promotion, you deserve it 😁

@statquest

5 ай бұрын

Thanks 😅

Really Awesome

@statquest

Жыл бұрын

Thanks 🤗

honestly wish I had this a year ago when I was struggling, still watching now tho!

@statquest

2 жыл бұрын

Bam! :)

Your teaching video is awesome

@statquest

2 жыл бұрын

Thank you!

@ぶらえんぴん

2 жыл бұрын

@@statquest Do you have intro to lightning ? I kind of remember you mentioned in the video you seemed to have one?

@statquest

2 жыл бұрын

@@ぶらえんぴん That's going to be the next video in this series. It will come out in a few weeks.

this video is gold

@statquest

2 жыл бұрын

Thank you!

Soooooooo thankful!

@statquest

Жыл бұрын

bam! :)

Thank you, good explanation! 16:00 Python prefers for-each-loops over index-based loops. See how this equivalent for-each loop looks much simpler. for input, label in zip(inputs, labels): output = model(input) loss = (output - label)**2 loss.backward() total_loss += float(loss)

@statquest

Жыл бұрын

Great tip!

Thanks for this

@statquest

2 жыл бұрын

:)

great presentation!! thanks again for simplfying this topic! are you planning to post more on NN implementation? computer vision maybe or object detection?

@statquest

Жыл бұрын

Yes, there will be many more videos on how to implement NNs.

Josh explaining the code is far better than any programmer

@statquest

2 жыл бұрын

Thank you!

Thanks a lot, beg for Pytorch Series playlist.

@statquest

2 жыл бұрын

Soon!

This was great... I hope you can simplify Tensorflow the same way... big big thank you.

@statquest

2 жыл бұрын

Thanks!

omg this is amazing

@statquest

2 жыл бұрын

bam! :)

I would be appreciated if you can teach more an deeper in pytorch. Thank you so much!

@statquest

2 жыл бұрын

That's the plan. This is just the first of many videos on how to code neural networks. The next video will be on pytorch lightning, and then we'll start to create more advanced models.

KOREAN BAMMMM!!! TY StatQuest😁

@statquest

2 жыл бұрын

Awesome!!! BAM! :)

better than MIT or any university slides

@statquest

2 жыл бұрын

Thank you!

Thank you :)

@statquest

11 ай бұрын

You're welcome!

Finally🔥

@statquest

2 жыл бұрын

:)

Amazing work Josh!

@statquest

2 жыл бұрын

Thank you!

Please make an entire tutorial about the ins and outs of PyTorch!

@statquest

Жыл бұрын

I've made several PyTorch videos and will continue to make more. You can find the others here: statquest.org/video-index/

Wonderful

@statquest

2 жыл бұрын

Thank you!

Hi Josh, sorry to be a spoil sport, but I used exact same code and my prediction is showing 0.5 for dosage of 0.5 and it is running for all 100 epoch and final b value comes out to be -16.51 😔. But yes the concept is clear!! Great work! I always ask people whoever are interested in learning about data science or machine learning to refer you channel. Seeing your channel grow from 10-20K to a Mn is pleasure to my eyes!! You are the "El Professor"!!

@statquest

5 ай бұрын

Thank you very much! If you look at my actual code (follow the link), you'll see that I actually pulled a trick with the data to get it to train faster.

thank you so much to explained it so clearly, if I didn't click the sumb up button, that will be my guilty

@statquest

Жыл бұрын

Thank you! :)

Hey Josh! Amazing videos, thanks a lot. Would be great if you could cover Time Series Data and algorithms like ARIMA and HOLTS WINTER Thanks😊

@statquest

8 ай бұрын

I'll keep those topics in mind.

Thanks Josh, its Incredible video. Beside, recently the Bayes theorem application in fitting model (linear, logistic, random forest...) has became more and more popular in order to replace classic statistic method, could you pls take some time to explain to us some of its popular algorithm like BART, Linear regression via Bayesian Methods...

@statquest

2 жыл бұрын

I'm planning on doing a whole series on Bayesian stuff as soon as I finish this series on neural networks.

@conlele350

2 жыл бұрын

@@statquest that's great news for today, thanks Josh, Im looking forward to see it soon

bro i love you

@statquest

2 жыл бұрын

:)

Hi Josh, thanks for your video. I am confused why it doesn't work when I am trying to optimize any other weights and bias. five minutes later, I think I have got the answer from the comments and your reply. Thanks again!

@statquest

Ай бұрын

bam

Nice video for the introduction of LSTM using PyTorch. There is also `torch` R package that doesn't need to install python and torch. It's so nice that R also has deep learning framework aside from `tensorflow` and I recommend you to maybe try it.

@statquest

5 ай бұрын

Thanks for the info!

@joshstat8114

5 ай бұрын

@@statquest i strongly recommend it because it is so nice that R has own deep learning frameworks, besides h2o

Awesome video! Thanks, Josh! Can you please explain what super() does in the _init_()?

@statquest

2 жыл бұрын

Great question! So, we're making a new class that is derived from nn.Module, and nn.Module, is derived from something else, and all those things need to be initialized, so "super()" does that for us.

So interesting videos and good explanations. I am wondering which software you use to make these cool visualizations?

@statquest

2 жыл бұрын

I share all my secrets here: kzread.info/dash/bejne/laaAuqyAXainmM4.html

Double bam new way to teach coding

@statquest

2 жыл бұрын

yes! :)

Triple bam!

@statquest

2 жыл бұрын

BAM! Thank you very much for supporting StatQuest!!!!

look at what I found! It is useful and interesting!

@statquest

2 жыл бұрын

bam!

So I paused at 18:04 because _it blew my mind_ that we were calling backwards() on the loss variable because I thought it was defined on the line above… 😅😅😅😅 but yeah I didn’t find anything so one hour later I was just watching the rest of the video and _to be honest_ in about 33 seconds it came out that it was normal for _my mind to be blown_ 😂😂😂😂 at 18:37

@statquest

4 ай бұрын

Totally! I was like, "what?!?!?" when I first saw that.

Tensorflow developer is turning into PyTorch… bam! 💥

@statquest

2 жыл бұрын

bam! :)

Sir, Please make videos on the time-series analysis, it's hard to find the videos with clear explaination.

@statquest

2 жыл бұрын

I'll keep that in mind.