Load Data and Train Neural Network Model - Deep Learning with PyTorch 6
In this video we'll import the iris dataset and Train our Model!
We'll import the iris dataset as a CSV file, and then tweak the last column a bit.
Then we'll set up a Train/Test/Split and start to train the model using SKLearn and Pytorch.
#pytorch #codemy #JohnElder
Timecodes
0:00 - Introduction
0:51 - Import Matplot and Pandas
1:35 - Import our Iris Data
3:02 - Check DataFrame
3:31 - Change Last Column To Numbers
4:51 - Set X and y
5:51 - Convert X and y to Numpy Arrays
6:22 - Import SciKitLearn
6:45 - Train Test Split
8:14 - Convert To Tensors
9:56 - Set Criterion and Optimizer
13:38 - Train Our Model
16:28 - Keep Track of Losses
17:18 - Print Epochs and Losses
18:00 - Back Propagation
19:16 - Run The Training!
19:56 - Graph The Losses
21:55 - Conclusion
Пікірлер: 45
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Really love your series - I would really appreciate it if you can go through what the backpropation functions do: optimizer.zero_grad() loss.backward() optimizer.step()
Awesome tutorial, it's great to see that you are using sklearn for data partitioning, thanks for the tutorial! Keep up the good work👍
@Codemycom
8 ай бұрын
Thanks
Hi John. Great video and really clear explanation. Just one question, is there a better way of classifying the flower types. It seems like doing it numerically with all types on the same scale is a bit strange and could lead to some confusion for less accurate models. For example, the machine might give a score of 1.1 because it is unsure whether a flower is Setosa (0.0) or Virginica (2.0). However, a score of 1.1 would lead us to conclude that it is most likely Versicolor. Is there a way to avoid this? I hope I'm being clear.
This saved my life. Thank you!
@Codemycom
Ай бұрын
Welcome
Amazing learning with your videos and then i got deep dive learning.. anjaay
@Codemycom
3 күн бұрын
Glad you enjoyed it!
@shahrizal0715
3 күн бұрын
@@Codemycom can't wait your next videos...
@Codemycom
3 күн бұрын
@@shahrizal0715 The completed and final list of all the pytorch videos is in the pinned comment. There won't be any more.
Sir, I have covered full playlist of kivy and it is really amazing, but when we make the kivy program we can only excess it on system which contains the compiler but what if I want to share it or want to convert it into apk can we do it. Please make one more amazing videos and solve this problem, I have already tried Google cllab but file get crashed again and again.
John you are the best... Wish you will do llm and bert
@Codemycom
11 ай бұрын
I'm planning on it
I Love you!
@Codemycom
11 ай бұрын
Thanks!
Thank you so much. However, I have a problem with my Colab; I am not able to visualize the epochs like you did around the timestamp 19 minutes and 30 seconds. How do I set up my Colab like that?
@kombatbakpen6820
3 ай бұрын
I figured it out professor! thank you . Can you do a playlist list on computer vision with openCV?😇
@Codemycom
3 ай бұрын
Sorry, no plans for that.
hi guys i just started playing with neural networks and i have a little problem with this tutorial and no matter what i do my losses and epochs graph is stationary on one value. PLS help
@tobiasschulze-heinrichs3187
6 ай бұрын
Can you share your code? One thing I could think of is that you run the training itself multiple times - that is something you shouldn't do as the model already learned some weights and biases. You are basically overfitting the model. Run the whole notebook instead
@MattVibes
4 ай бұрын
For me this was because I had a type on class forward: ``` def forward(self, x): x = F.relu(self.fc1(x)) x = F.relu(self.fc2(x)) x = self.out(x) # remove the ReLU activation here return x```
@essentialedm937
4 ай бұрын
Thank you, that fixed mine@@MattVibes
torch.FloatTensor(x) not converting x to torch tensor but creating a torch tensor x dimension!!! . Not sure if I am missing anything?
@prashantpandey2299
7 сағат бұрын
same issue here
Really impressive 😧 .. Very nice tutorial but i return to Django soon 🤕
@Codemycom
6 ай бұрын
ha
I've been typing your code into my PC to try but it's a slow process. Can I get a text file with your code anywhere?
@Codemycom
4 ай бұрын
Code is always in the pinned comment
@tracysmith2914
2 ай бұрын
@@Codemycom Where in the pinned comment... I am not finding any code anywhere in that 1st pinned comment. Not finding any code in any of your vids... I am probably missing something obvious
@alphabeta644
Ай бұрын
@@tracysmith2914 Look for line that says " Get The Code" in the pinned comment.
Do you have any github repo for this tutorial?
@Codemycom
6 ай бұрын
Yep, pinned comment as always
i just got this error can you please fix it ? RuntimeError: expected scalar type Long but found Float the part that show an error is the convert is part when we convert array to FloatTensor. i did check everything and not found a fix ?
@prashantpandey2299
7 сағат бұрын
i am also getting same
Freaky 🥵
@Codemycom
6 ай бұрын
lol
Where is the text of your code in the pinned comment? I am not finding any code anywhere in that 1st pinned comment. Not finding any code in any of your vids... I am probably missing something obvious... the tutorial is fantastic...
@Codemycom
2 ай бұрын
The code is a link in the pinned comment. It's a link to the code that you click on.
@tracysmith2914
2 ай бұрын
@@Codemycomok... I had not clicked "Read more"... the link for code then did show up... thanks!
@Codemycom
2 ай бұрын
@@tracysmith2914 Ah, glad you got it sorted out!
Hi. This one is a little bit too heavy. It would be better to split it into 2 short videos. Great tutorials overall. Thanks
@Codemycom
8 ай бұрын
Or you can watch it twice
Hello sir please