Early Stopping In Neural Networks | End to End Deep Learning Course
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- Опубліковано 29 вер 2024
- Early stopping is a method in Deep Learning that allows you to specify an arbitrarily large number of training epochs and stop training once the model performance stops improving on the validation dataset.
Digital Notes for Deep Learning: shorturl.at/NGtXg
Code - colab.research...
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Hi Nitish,please complete NLP ,Interview playlist side by side..also start statistics,python,sql 100days
Yes
awesome video lots of love from nepal......
Thank you very much sir for this valuable knowledge for which institutes charge hefty amount which you are giving it for free .This will be a revolution in data science field . You Are Doing a Great Work . For people like me it has turned very beneficial 🙏🙏.....One Request Sir plz continue Interview Questions series !!🙏🙏🙏
ha true
You should do live streams. Also you should do video premiers. This will help with the algorithm.
sir @CampusX does the early stopping works even with stochastic GD, and also what will happen if it is stuck at local minima or a gradient with a long little slope before reaching global minima
Congratulations sir on 20k subscribe s InshaAllah ap buhat traqqi kro gy
2 years ago you comment 20k now watch his channel 220k
Sir, could you please upload feature selection videos?
It's already there in machine learning series
@@sam-mv6vj Could you send me the link?
@@rutvigohel5255 i remember sir explained in decision tree topic
Thanks Sam! Will check it
can someone help me with CNN image Classification,how to deal with non square images (3891 by 891) if iam keeping the aspect ratio my image is getting blurred and my model performance is poor,if I'm resizing it to 256 by 256 then I'm loosing a lot of information by making it as square.
Can anyone help me with this?
Nitish Sir, I run notebook given in google colab, first time it ran for 327 epochs,but after that for changing any parameter in callback,it's not running even for 100 epochs, like for patience 0, after epoch 2 it stopped, then after I changed it to 50, 20 but and restore_best_weights=False, it's is stopping epoch 63 or earlier, why is its so, It's not waiting even for 100 epochs?
the best course on deep learning
Hi nitish, what benefits are there if i join ?
Hi Nitesh,
I have 1 query what should be the validation data, can I use test data as validation data?
Nice explanation with example
Very good tutorial. Thank you very much for such a good tutorial.
Does pytorch has any builtin early stopping
Sir, how to use early stopping callback in custom training loop?
Thanks Nitish. Highly appreciated
Great explanation
Sir please complete python series
Make videos on rag model
Very nice easy and Hindi videos
Thank you Sir !!
Thanks for the explanation.
hieeee.. May i know which book you are following for this Playlist...?
None
awesome video
Very nice 2:12
thank you
Thanku so much sir
Thank You Sir.
🤍
Sir, the model that I am training is getting early stopping at 21. It seems to be getting stuck in a local minimum. What can be done to prevent this?
dekho in logo ko, sir ne like karne ko nhi bola to like bhi nhi kiye ye log 😑
Batao... Sach me kya kare Inn logo ka. Bas tu hi bhai hai mera Ankush
@@campusx-official Me bhi hu😆
sir mere to 21 epoch par hi early stopping hogai kya karu?😂😪
Same 🥹👍🏻
I like the way you teach
finished watching
Thanks Sir
Thanks 🙂
best
❤
Superb
what a wonderful explanation
Thank you for your teaching...You are very hard working...........