Dropout Layer in Deep Learning | Dropouts in ANN | End to End Deep Learning

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CampusX

CampusX

Күн бұрын

Пікірлер: 49
@ghousepasha4172
@ghousepasha4172 Жыл бұрын
This guy will become a brand in aiml
@Ankit-hs9nb
@Ankit-hs9nb Жыл бұрын
Thanks, sir jee for such videos! please start BERT/transformer series!
@SethuIyer95
@SethuIyer95 8 ай бұрын
I think you nailed it with the random forest analogy. That's just brilliant.
@SurajitDas-gk1uv
@SurajitDas-gk1uv Жыл бұрын
Very good tutorial. Thank you very much for such a good tutorial.
@alirazatareen5651
@alirazatareen5651 3 ай бұрын
Amazing you are the king of deep learning
@MonikaSingh-nu5sg
@MonikaSingh-nu5sg 2 жыл бұрын
Amazing video again ...
@JiwanRai-mj7ke
@JiwanRai-mj7ke 5 ай бұрын
@Nitish Shing. I really loved your all videos and the way you explain the concept. Looking fore more videos of such nature in future. I am learning AI through your videos. Thanks for amazing work you are doing. Lots of support from Bhutan
@sakshamjain4640
@sakshamjain4640 Ай бұрын
Its amazing, I was thinking Dropout layer is like Random forest with regression logic, Maybe the intuition of everything is kinda similar with slight difference. But Amazing Video. Really impressed !!
@narendraparmar1631
@narendraparmar1631 9 ай бұрын
Thanks for this simple explanation.
@rayanali9737
@rayanali9737 Жыл бұрын
very simple and precise explanation. Thanks
@sujithsaikalakonda4863
@sujithsaikalakonda4863 Жыл бұрын
Very well explained.
@nomannosher8928
@nomannosher8928 Ай бұрын
I wish, I would watch this video before my interview.😥. Interviewer watched this before me.
@ShahnazMalik.
@ShahnazMalik. Жыл бұрын
Brilliantly explained. May I please know what pen and drawing pad you use to write the mathematics and explanation? Thanks and keep uploading videos and I am sure you will soon have millions of subscribers
@aakashbarwad2420
@aakashbarwad2420 8 ай бұрын
Wonderful videos all
@hamzakhanswati9087
@hamzakhanswati9087 Жыл бұрын
Amazing❤❤
@ekanshuagrawal5931
@ekanshuagrawal5931 10 ай бұрын
Thanks for providing the paper
@mustafizurrahman5699
@mustafizurrahman5699 Жыл бұрын
sir you are a genius
@paragbharadia2895
@paragbharadia2895 3 ай бұрын
amazing video thank you, learned so much!
@ParthivShah
@ParthivShah 7 ай бұрын
Thank You Sir.
@vinaynaik953
@vinaynaik953 2 жыл бұрын
Great
@sandipansarkar9211
@sandipansarkar9211 2 жыл бұрын
finished watching
@ParthivShah
@ParthivShah 7 ай бұрын
best video.
@chetanchavan647
@chetanchavan647 8 ай бұрын
Great Video
@AayushShrivastavaIITH
@AayushShrivastavaIITH 3 ай бұрын
If the weight is calculated based on the ratio of availability of the nodes, i.e., 0.75, then during testing we will use the same weight value to predict the output. Why to multiply with the availability ratio of 0.75 during testing?
@barryallen3051
@barryallen3051 2 жыл бұрын
I have a request. Can you please make a video about Monte Carlo (MC) Dropout too?
@Singasongwithme2004
@Singasongwithme2004 3 ай бұрын
in last topic how prediction works there you told p = 0.25 means only one node will be ignored during training in every epoch(according to you) but i think if you want to drop or ignore only one node from one layer(one layer is made up by 4 layer) the p value should be 0.75 and this is the formula - p = Neurons to keep / Total neurons If i am wrong please correct me and if we both are right then let me know please 🙂
@savyasachi6988
@savyasachi6988 5 ай бұрын
hidden gem
@amLife07
@amLife07 4 ай бұрын
Thank you soo much Sir ....
@vanshshah6418
@vanshshah6418 2 жыл бұрын
Thanks awesome
@AtharvaAnkushSadanshive
@AtharvaAnkushSadanshive 11 ай бұрын
Hello Sir, just what you mentioned in the video that the probability of each weight being present while testing will be 0.75 given that p is 0.25. But as the nature being random for selecting the node to be dropout isnt it possible in the worst case scenario that one node being present all the time for eg the node was present for all the 100 epochs?
@rb4754
@rb4754 5 ай бұрын
Awesome teaching...
@arin_p
@arin_p Ай бұрын
good
@upa240
@upa240 2 жыл бұрын
Is it more accurate to say for every combination of forward and backward pass instead of saying for each epoch? One epoch may consists of several mini batches. Also is it common to apply drop outs on input layer? Thanks...
@arush6070
@arush6070 2 жыл бұрын
ig we usually don't apply dropout to input layer
@ickywitchy4667
@ickywitchy4667 8 ай бұрын
yea you are right
@sharangkulkarni1759
@sharangkulkarni1759 Жыл бұрын
Good
@hussainshah7065
@hussainshah7065 Жыл бұрын
sir please share the one note link for notes
@prakharagarwal9448
@prakharagarwal9448 2 жыл бұрын
Sir pls send the notes link
@sajalhsn13
@sajalhsn13 2 жыл бұрын
off-topic. do you have any connection with the Bengali language? I am a Bengali and for some reason, I think, you do. just curious. :)
@siddharthagrawal6157
@siddharthagrawal6157 2 жыл бұрын
Sir how do you make these amazing tutorials? What do you use to write on the screen? Just curious
@javaria_Ibrahim
@javaria_Ibrahim Жыл бұрын
By pen tablet
@elonmusk4267
@elonmusk4267 3 ай бұрын
addicted
@ndbweurt34485
@ndbweurt34485 Ай бұрын
agar koi weight multiple times dikh gaya toh?
@znyd.
@znyd. 6 ай бұрын
💚
@ahmadtalhaansari4456
@ahmadtalhaansari4456 Жыл бұрын
Revising concepts. August 15, 2023😅
@rafibasha4145
@rafibasha4145 2 жыл бұрын
1st
@sandipansarkar9211
@sandipansarkar9211 2 жыл бұрын
finished watching
@umersiddiqui9580
@umersiddiqui9580 Жыл бұрын
now sleep sweet dreams.
@AsadNawaz-e3z
@AsadNawaz-e3z 2 ай бұрын
@@umersiddiqui9580 with excitement
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