even if I already can implement something from scratch, I can't keep myself away from your lecture when I see it in recommendations. I always wanted this series on your channel.
in the loss function, i think the code should be this: def loss_function(self, y_hat, y): epsilon = 1e-7 y_hat = torch.clamp(y_hat, epsilon, 1 - epsilon) loss = -(y * torch.log(y_hat) + (1 - y) * torch.log(1 - y_hat)).mean() return loss basically, instead of y_train_tensor, it should be y.
Hi Sir I'm new in ML.I am currently seeing your 100 days of ML.I'm in Day 7 where you said integrate ML into software so that end users can use it. I Hope you make end to end projects for end users and add it in playlist as it will be very practical. I don't know if it is in the 100 days ML practise or not.If it's there that's awesome if there is not please consider it adding. Thank you for sharing your knowledge free to us
even if I already can implement something from scratch, I can't keep myself away from your lecture when I see it in recommendations. I always wanted this series on your channel.
learning from you is like finding eternal knowledge 🙏 :)
Very informative and nicely curated in simple language, thank you..! Keep making such videos and keep rising.
Thank you.
Please make a playlist on Forecasting with DL like LSTM GRU TFT ....
sir deep learning ki playlist complete kar dejea please humble request
aapki video bahut aachi lagti hai isle
Wahi toh chal rhi h.
I’m so grateful to you sir ✨
Thanks sir loving it..
Continue the series ❤
SIR YOU IS CREATING MY JOURNEY EASIER
Waiting eagerly for the next one .
in the loss function, i think the code should be this:
def loss_function(self, y_hat, y):
epsilon = 1e-7
y_hat = torch.clamp(y_hat, epsilon, 1 - epsilon)
loss = -(y * torch.log(y_hat) + (1 - y) * torch.log(1 - y_hat)).mean()
return loss
basically, instead of y_train_tensor, it should be y.
Please sir add more videos and complete 100 days of Deep learning playlist.
He already told us that he'll complete that after Pytorch series.
Pytorch bhi toh DL ka hi hai.
Super❤
You are really genius
Yes 💯
Thank you so much sir
Hi Sir I'm new in ML.I am currently seeing your 100 days of ML.I'm in Day 7 where you said integrate ML into software so that end users can use it. I Hope you make end to end projects for end users and add it in playlist as it will be very practical.
I don't know if it is in the 100 days ML practise or not.If it's there that's awesome if there is not please consider it adding.
Thank you for sharing your knowledge free to us
Sir ❤❤❤❤❤❤
Nitish please complete the remaining playlist of deep learning ...
you are very genius
Please suggest a playlist to get good knowledge on Azure
"Tybul on Azure" Channel has great DP203 series which is for Data Engineering but it is also relevant to Datascience
thank you sir❤
Thank you sir
Sir, please boost #MLOps playlist
Awesome
Can you make video on u net neural network
can i do this pytorch playlist if i only knew ml
If you plan to learn Deep Learning and NLP with Transformers etc.,, yes, you can learn. Understanding some basics of Deep Learning would help too
why we initialized bias with 0? i am comfused like how then bias will updated
👑
Assiment kya kare sir Kyoko hm bhul jate h baki Padhne me bhut mja aa rha h 🫡🫡🫡
Try to implement these things on kaggle and it will also help you in becoming master
Best
❤️
Does pytorch need to have the knowledge of oops python .?
You need to at least have a basic knowledge of classes, methods and constructors
@@vrajpatel9259 ohk thank you
First comment❤
Hi sir I am looking for data scientist opportunity but jobs are not available
Serrrrrr
First comment ❤
Please turn off that auto-code completion. It just spoils the thinking capactity 😂
21st comment😊
Can you please add English subtitles in your videos?It will be really helpful for those including me to understand well.
Thanks in advance!❤
Bangladeshi spotted
First view
First comment❤