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Vanishing Gradient Problem in Recurrent Neural Networks (RNNs) Explained!
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Create Your First AI Model Portfolio with Hugging Face
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Пікірлер
@Raymond.Motshabi
@Raymond.Motshabi Күн бұрын
Thank You bafana .
@harrisonpassegon5941
@harrisonpassegon5941 5 күн бұрын
19691 Xzavier Crescent
@ibsolucoesemti
@ibsolucoesemti 5 күн бұрын
Excellent video, I've been using ChatGPT it for some of these applications but this content opened my eyes for new forms of using ChatGPT. Thanks for that!
@brunaamancio3314
@brunaamancio3314 8 күн бұрын
Amazing content!
@ruprechtpinchen5290
@ruprechtpinchen5290 9 күн бұрын
Skynet is near
@finanzferdinand9874
@finanzferdinand9874 9 күн бұрын
🤯
@АлександрРусаков-в4с
@АлександрРусаков-в4с 9 күн бұрын
White Deborah Lewis Jeffrey Anderson Angela
@JacobTimothy-fu9bt
@JacobTimothy-fu9bt 10 күн бұрын
Not helpful
@alfredodira9739
@alfredodira9739 14 күн бұрын
Great tutor
@nicolamoscufo4945
@nicolamoscufo4945 24 күн бұрын
very good lesson, thanks for what you do!
@LincolnEdison-v1c
@LincolnEdison-v1c 29 күн бұрын
Vandervort Manor
@GeneralKenobi69420
@GeneralKenobi69420 Ай бұрын
Trypophobia ahh looking thumbnail
@TerryIves-e7j
@TerryIves-e7j Ай бұрын
6252 Oberbrunner Rapid
@prachi-k2y
@prachi-k2y Ай бұрын
The open-source nature of SmythOS is one of its biggest strengths. The community-driven approach ensures that updates and improvements are always coming in. It's also highly customizable, which is perfect for users who want to tailor their experience. SmythOS is quickly becoming a favorite of mine.
@optymys
@optymys Ай бұрын
Hi do you have any discount code for udemy . I want to buy 2 course
@Jagentic
@Jagentic Ай бұрын
❤
@northsr8820
@northsr8820 Ай бұрын
Great video, thanks for sharing!
@vram11
@vram11 Ай бұрын
Luv it..... So well summarized...
@alejandraossajimenez858
@alejandraossajimenez858 Ай бұрын
loved the smoothness and clarity in which it was all explained! thanks a lot for this videos.
@oualidlaib5965
@oualidlaib5965 Ай бұрын
That was an amazing and clear explanation, especially for non-technical learners. Thank you so much
@nikhilsingh1296
@nikhilsingh1296 Ай бұрын
I am not able to Understand Adjusted RSquare, can someone help.
@kunjd26
@kunjd26 2 ай бұрын
P(Defect|Mach1) = 0.83%
@LOISLANE99999
@LOISLANE99999 2 ай бұрын
thanks
@NilsThomas19
@NilsThomas19 3 ай бұрын
Simply explained, Thanks !
@noyan9924
@noyan9924 3 ай бұрын
The clearest explanation of the OLS regression I heard. Thanks a lot!
@DeltaLabsComputers
@DeltaLabsComputers 4 ай бұрын
you really dont need to tell ChatGPT "Could you please" lol it's a machine with no feelings and no character. As of YET! 😂
@realmreaper5550
@realmreaper5550 2 ай бұрын
lol
@primateproduccionescr
@primateproduccionescr 4 ай бұрын
thank you soo much , started following you from now on !
@nikhilrout3287
@nikhilrout3287 4 ай бұрын
makes so much sense, ty
@souravkundu1735
@souravkundu1735 5 ай бұрын
Thanks for the explanation. I found your simple yet powerful explanation very useful. Is it possible for you to add me to your mailing list?
@markvogt70
@markvogt70 5 ай бұрын
INFORMATIVE & ENJOYABLE video - you've earned yet another subscriber ! ONE COMMENT (a correction you may wish to make at your earliest opportunity, since this has been out a year): GIVEN your intro set of 30 (THIRTY) data points, your "Elbow Method" Graph (timestamp 3:26) couldn't possibly end up with WCSS = 0 at only 10 (TEN) clusters :-O INSTEAD the "Zero WCSS Point" on the x-axis would be for precisely 30 clusters, each with 1 data point which by definition of WCSS has a value of 0 (ZERO). You explain this VERBALLY quite nicely, but I think your GRAPH then contradicts what you've explained, because at Clusters = 10 there would be approximately 3 data points in each cluster (on average) hence a NON-ZERO WCSS for each cluster. I look forward to watching more of your videos - you're an EXCELLENT presenter !! - Mark Vogt, Principal Solution Architect/Data Scientist - Avanade (avanade.com)
@kawaljeet5
@kawaljeet5 5 ай бұрын
I just have one question regarding the dataset "Ads_CTR_Optimisation". I am not able to understand why more than 1 ad is selected per round in some cases.
@hnevko
@hnevko 5 ай бұрын
what do you mean by variable? a variable, the variable? or just numbers, or observations? So many fkin terminology, words, words! Anyway, so you have the A (Y axis) and B (X axis) variables.By adding a variable you mean adding C, so multinomial? If I have 2 variables, adjusted R2 should be the same as normal one? Its not.
@testtest-ws7uc
@testtest-ws7uc 5 ай бұрын
This is awesome! I am happy that I stumbled upon your video! Thank you!
@raphaeld.s.1933
@raphaeld.s.1933 6 ай бұрын
Greater R^2 values are NOT necessarily better
@JJGhostHunters
@JJGhostHunters 6 ай бұрын
Can you provide any resources of how to apply Thompson Sampling to the Taxi problem in OpenAI Gym? I would like to compare its performance to the epsilon-greedy.
@munnieswaroop
@munnieswaroop 6 ай бұрын
Super
@thanhtung24
@thanhtung24 6 ай бұрын
Video starts at 2:45
@omerdeniz7007
@omerdeniz7007 6 ай бұрын
Great!
@jessebrn30
@jessebrn30 6 ай бұрын
well done, explained very clear!