Loss functions in Neural Networks - EXPLAINED!
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- Опубліковано 28 січ 2024
- Let's talk about Loss Functions in neural networks
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mostly qualitatively as i am too lazy to do quantitative assessment but strive to do it. recently i have been trying to figure out a quantitative method to mark my approach with is based on the following approach "how fast to learn or how big of a step to take during learning and to find a sweet spot between steps that were too small and those that were too large as"
as for the quiz i believe it is
A for quiz 1
A,B,C for quiz 2
A for quiz 3
What will happen if the loss values are negative and what maybe the reasons of it being negative. Is it the dataset or the model? Thanks in advance
Brother, I am waiting for your explanation on Mamba. Do you have it in the plan?
Are there right answers to the quiz somewhere? Would be helpful to put them in the description.
dear how can contact with you, i need your help in my project ?
Can you send us some bibliography on this subject?
the quiiiiiz tiiiiiime is definitely waking the sleeping people up!
Quantitatively.. in work or any structured tasks. Everyday life stuff where I’m not held accountable, qualitatively
Definitely more qualitatively
A
Bcz house price is a regression problem.
You right man
I mean you COULD model the problem as classification problem but … I am not saying that anyone SHOULD do it
@@Schaelpy I am confused, here the data is not in a continues manner but rather in a range. and as its mentioned in the problem based on "Given parameters/ attrib." which makes it a classification problem.
Not sure, i might be wrong
squeeeeeeeze liiiiiiiiime
Annoying accent and the quizz time OMG never goona continue watching his videos
A
STOPPPPP SAYING QUIZZZZZ TIMEEEEE. IT IS SOOOOO ANNOYING
😅😭