thank y soo much,, always following your news please, i've used the U-NET segmentation code you shared but when i tried other metrics like f1 score it doesn't work with me? please how to calculate f1 score for that model you shared please it's an emergency i realy need the answer !!!!!
Not sure what you mean by f1 score doesn't work. I usually do this... from sklearn.metrics import f1_score A quick Google search gave me this page with fi score implementation. Hope this helps.. www.kaggle.com/rejpalcz/best-loss-function-for-f1-score-metric
your videos are amazing and are helping me a lot. I am very grateful
Happy you are back dear Serini wish father and family are good...thanks for all your sharings...God bless you and your family
Thank you so much
you are such an amazing teacher
my man has saved the day
You are welcome :)
why did you plot the square root of the loss and accuracy rather than the raw loss and accuracy values?
plotting my graph only show the training accuracy and training loss but not showing validation loss and accuracy
Deep Learning is just build a super complicated loss function and then with our old friend "Calculus", cheers to Newton, and hence optimize it 🙂
Not necessarily super complicated loss function, something that is appropriate. For complex applications, the loss function can get a bit complex.
thank y soo much,, always following your news
please, i've used the U-NET segmentation code you shared but when i tried other metrics like f1 score it doesn't work with me? please how to calculate f1 score for that model you shared
please it's an emergency i realy need the answer !!!!!
Not sure what you mean by f1 score doesn't work. I usually do this...
from sklearn.metrics import f1_score
A quick Google search gave me this page with fi score implementation. Hope this helps.. www.kaggle.com/rejpalcz/best-loss-function-for-f1-score-metric
Can u please share a link or explain the code clearly, step by step (especially the part where you build the model) that is in this video?