I will have an exam in 30 minutes. I didn't understand anything about this topic. Then I watched this and holy hell I went from not understanding it at all to understand it almost fully (The formulas isn't yet though). Thank you!
@tkorting
5 жыл бұрын
Thanks for your feedback. How was the exam? :) Please subscribe to my channel Regards
@nimrsawafta1682
4 жыл бұрын
Me too bro LOL
@mrinalsahu7564
6 ай бұрын
me too lol
@skylible
6 ай бұрын
@@tkorting I just saw your comment again after a long time. I think it went well. Already graduated. Working as a software engineer/data scientist in one of the top paid companies in my country. So all is well I guess haha. Thank you for this!
@yahyamohammed5418
3 жыл бұрын
Wow, first time I’m seeing someone explain this without using a simple formula, just common sense. GREAT JOB
@tkorting
3 жыл бұрын
Thanks for the feedback, please subscribe to my channel
@chetanraj1950
5 жыл бұрын
Thank You so much, after wasting one hour on another channel(didn't understand). Then I found yours, watched and understood SOM. Thank You so much.
@tkorting
5 жыл бұрын
Thanks for this feedback Please like and share the video, and subscribe to my channel Regards
@mengyangchen8563
8 жыл бұрын
Thanks, it is the most clear and simple interpretation of SOM I had ever found
@tkorting
8 жыл бұрын
+Mengyang Chen thanks for your feedback. Please subscribe to my channel and share this video with your peers. Regards
@mbambokazbalwa519
7 жыл бұрын
If only I had seen this video months ago I would have saved myself the pain of going over every online publication on SOM For any Newbie in SOM.. This is what you been looking for. Love from Afrika And Oh, thank you Thales Sehn Korting
@tkorting
7 жыл бұрын
+Mbambokaz'balwa greetings from Brazil thanks for your feedback please subscribe to my channel regards
@mbambokazbalwa519
7 жыл бұрын
Is there a way I can inbox you ASAP? Am working on optimising competitive learning in SOM.. Just wanna share what I have and hear what you think..
@Kosxd
3 жыл бұрын
Lol this is very informative, ty. I read a tons of articles and didn't understand it very well, but now I feel myself much better
@KingAstroJack
9 жыл бұрын
Thank you!! In less than 5 minutes, you described what my professor wasn't able to do in 2 weeks.
@tkorting
9 жыл бұрын
thanks Jack for your valuable comments please subscribe to my channel and share this video with your peers regards
@thejewelledparrot2818
4 жыл бұрын
Thank you SO MUCH for this. I didn't get it at all, and this is such a simple and effective explanation.
@tkorting
4 жыл бұрын
Thanks for this comment Please subscribe to my channel Regards
@imme2763
5 жыл бұрын
Very good visual representation of how SOM's work, thank you sir
@tkorting
5 жыл бұрын
Thanks for your comment, please like/share/subscribe. Regards
@tomaszskrzypczyk7782
3 жыл бұрын
Why we call the clusters' centers NEURONS actually? Does it mean that a neuron is always from the same vector space as input data?
@feraudyh
7 жыл бұрын
Goodness, you made it sound like a very simple idea.... A good introduction, thankyou.
@tkorting
7 жыл бұрын
thanks a lot for this positive feedback please like/share the video and subscribe regards
@cherylto5898
4 жыл бұрын
I know this is a simple explanation - I'm a visual learning - I think in pictures and images - this is super helpful :) Thanks!
@tkorting
4 жыл бұрын
I agree with you. Thanks for this feedback. Please subscribe to my channel. Regards
@polyroguegames5820
5 жыл бұрын
Really helpful for understanding the fundamental concept. Thanks.
@tkorting
5 жыл бұрын
Thanks for your comment. Please like/share/subscribe. Regards
@PiyushChitkara
7 жыл бұрын
This video explains the concept so well.. Great job
@tkorting
7 жыл бұрын
+Piyush Chitkara thanks a lot for your positive feedback. Please like and share the video and subscribe to my channel. Regards
@ibrexg
8 жыл бұрын
I like your way to simplify topics with simple examples :).
@tkorting
8 жыл бұрын
+Ibraheem Al-Dhamari thanks for your valuable comments. Please subscribe to my channel and share this video with your peers. Regards
@ibrexg
8 жыл бұрын
+Thales Sehn Körting You are welcome. Sure, already did. Would be nice if you add more videos about some important topics e.g. BSplines interpolation, Active Shape Models and Deep Learning.
@paulburger9904
4 жыл бұрын
Great explanation. This makes so much more sense in 2 dimensions. Thanks!
@tkorting
4 жыл бұрын
Thanks for your feedback Please like and share the video and subscribe to my channel. Regards
@jaichbinachtzehn1
4 жыл бұрын
Thank you, this visualization made some parts more clearer which other sources just didn't make clear
@farshad1977
8 жыл бұрын
you simplified SOM in a very clear way, thanks
@tkorting
8 жыл бұрын
thanks for your feedback Please subscribe to my channel and share this video with your peers. Regards
@lalala90348
7 жыл бұрын
Thanks for the video. One question, I understanding was that the SOM is a unsupervised learning algorithm. Could you tell me why there are two "true neurons" with labeling?
@ak210596
4 жыл бұрын
What is the difference between K-means clustering and SOM? Is it just the way the centroids are updated?
@amendochka
4 жыл бұрын
thank you for the informative video! does the order in which you select the inputs matter? I can imagine that the distance between the connected neurons would look different depending on the displacement of the input.
@someguy760
4 жыл бұрын
How are the *colors* of the data-points initially computed? Is each attribute (table column) assigned a color and 1 datapoint is a mixture of those colors? I've seen SOM presentations where at the beginning of the algorithm, the data-points are colored differently. Is this the reason why?
@reinvanlennep4643
4 жыл бұрын
How does the random selection of the input work? I understand that you randomly select 1 input out of the set of all inputs. However, after selecting, let's say input i, do you then remove this input from the set of possible inputs that can be selected in the next epoch? Or is it still possible to randomly select again input i in the next input?
@AI-for-Science-and-Art
3 жыл бұрын
Thanks! Your explanation is clear and simply!
@tkorting
3 жыл бұрын
Thanks for the feedback, please subscribe to my channel
@arielgenesis
6 жыл бұрын
I have a question. During the update phase, shouldn't you update the other neuron AWAY? Because it is a competitive network?
@valeriipotokov9094
9 жыл бұрын
Very helpful algorighm. Thank you sharing this with us!
@tkorting
9 жыл бұрын
Valerii Potokov Hi! thanks for your feedback, please subscribe to my channel. Best regards
@edwardkeselman5118
8 жыл бұрын
So what is the difference between using SOM and K-means? It seems that both techniques are some sort of unsupervised learning
@tkorting
8 жыл бұрын
thanks for your question. Please subscribe to my channel and share this video with your peers. You are right to think that both algorithms are very similar. In fact, if you don't use the connection between the neurons, SOM will be equal to k-means. The main difference is, then, is (example at 3:21) when you update one neuron, the other neuron is also updated with a smaller shift, but is updated. Regards
@vermes22
8 жыл бұрын
Thanks so much for the video and your explanation. Could you be so kind and tell the difference between using SOM as compared to k-means? In which cases one is more advantageous than the other?
@tkorting
8 жыл бұрын
thanks for your question, please subscribe to my channel. SOM provides more tools to understand the data, when you project your N-dimensional feature space to a 2-D, you can use the U-matrix to understand better the relations between clusters and so on. You can still use more neurons and after decide to reduce the number. Whereas in k-means you have to provide this number as the first thing for classifying. Although SOM is fast, k-means is faster. With some of these arguments, and depending on your dataset, you can chose the best. Regards
@martinh9099
3 ай бұрын
Simple explanation...looks very similar to a particle swarm!
@anto01able
8 жыл бұрын
Thank you very much! It couldn't be more clear than this!
@tkorting
8 жыл бұрын
thanks a lot for the feedback, please subscribe to my channel and like the video. Regards
@snackbob100
4 жыл бұрын
i dont understand what affects how far they move to a direction
@tymothylim6550
3 жыл бұрын
Thank you very much! This video was very helpful for me. The graph and animations make it easy to understand too!
@aiavicii4243
3 жыл бұрын
what's the difference between SOM and K-means
@epsil2511
8 жыл бұрын
I finally get it, thank you!
@tkorting
8 жыл бұрын
Thanks for your feedback Please subscribe to my channel and share this video with your peers. Regards
@aspireac6888
2 жыл бұрын
Simple explaining againest complicated task. Great
@anisbhsl
6 жыл бұрын
Thank you for the simple and clear explanation.
@tkorting
6 жыл бұрын
Thanks for your feedback Please like/share/subscribe. Regards
@anasadham9508
3 жыл бұрын
hello, what is the difference between k-means clustering and self organizing maps ?
@tkorting
3 жыл бұрын
Thanks for the question, please subscribe to my channel They are different because k-means does not have connections between the clusters, and SOM has. You define the degree of connections between the clusters, or the neurons. Regards
@bahaz.4562
5 жыл бұрын
very simple and effective explanation. Thank u a lot for the work :D
@tkorting
5 жыл бұрын
Thanks for your comment, please like/share/subscribe. Regards
@HenriqueLuisSchmidt
8 жыл бұрын
Thank you! Very helpful and simple to understand!
@tkorting
8 жыл бұрын
+Henrique Luis Schmidt thanks for your feedback. Please subscribe to my channel and share this video with your peers. Regards
@bhartinarang2078
7 жыл бұрын
This is so nice & crisp.....thanks
@tkorting
7 жыл бұрын
Hi, thanks for the feedback please like/share and subscribe Regards
@inanisv2580
3 жыл бұрын
Thanks for your explanation, it really helps!
@tkorting
3 жыл бұрын
Thanks for the feedback, please subscribe to my channel
@destinyjames6117
3 жыл бұрын
Uu so is SOM similar to clustering?
@洁颖赵
7 жыл бұрын
Thank you for this wonderful explanation!!!
@tkorting
7 жыл бұрын
thanks for your feedback, please like/share the video and subscribe Regards
@adityamalte476
6 жыл бұрын
I don't understand, this algorithm is identical to K means clustering, if so then why is it called SOM?
@tkorting
6 жыл бұрын
+aditya malte thanks for all your feedback. In fact these algorithm is similar to K means however there is an important difference between the two, because SOM connects all the Clusters, and one cluster when converting to the classe it influences the neighboring clusters, which does not happen in K means algorithm. Please like and share the video and subscribe to my channel. Regards
@arielgenesis
6 жыл бұрын
In this case, this is very similar to K means. However, because the neurons are topologically connected, it will create some interesting patterns, especially when K is large. For example, if we have 3 neurons, A, B and C. And neuron B is between A and C topologically, at the very end, it will also be between A and C.
@waynebutane1338
5 жыл бұрын
@@arielgenesis In the K-means clustering algorithm you have to specify the amount of clusters you want to have whereas in SOM the neural network detects the amount itself. Also SOMs allow topology preservation (for example representing a 3d input space in a 2d space)
@dheerajkura5914
7 жыл бұрын
Very Nice Explanation ...! can you include how neurons are Selected/ Calculated
@tkorting
7 жыл бұрын
thanks for your feedback please like/share the video and Subscribe! Neurons are selected by the competitive method (2:23) and them they are updated to stay more similar to the patterns. In www.researchgate.net/publication/220785373_A_Geographical_Approach_to_Self-Organizing_Maps_Algorithm_Applied_to_Image_Segmentation you can find how the neurons are updated. Regards
@glaswasser
3 жыл бұрын
Your voice sounds a bit nervous but this really helped me understand the matter, thank you!
@tkorting
3 жыл бұрын
Thanks for the feedback. For more nervous videos please subscribe to my channel ;)
@ramadenlama
10 жыл бұрын
Hi, thank you very much for the explanation, it really helped. I'm just wondering about the example data set you presented at the beginning of the video. I see you have 20 unique IDs, each of which with 6 unique attributes. How is this plotted as the input distribution? What values would you use as coordinates? Thank you for your time.
@tkorting
10 жыл бұрын
Dear ramadenlama. Thanks for yout comments. Please share this video with your peers. The case with 6 attributes is different from the example, because it is simpler to show a 2 dimension case in the screen. For more than 2 attributes, the measures are the same, but plotting is not possible. The SOM can continue to be a 2D matrix, in order to be used as a dimension reduction scheme. Regards
@ramadenlama
10 жыл бұрын
Thales Sehn Körting Hi Thales, Thank you very much for your immediate reply to my question, it is greatly appreciated. I see, I guess my assumption was correct in that with 3 or more attributes multidimensional scaling must be applied. I find it strange that the literature available regarding SOMs does not directly address the nature of the input data used which is why I asked the question above. Again, thanks for your response.
@sashagarmash7853
5 жыл бұрын
Thank you for this wonderful explanation!!! This is my diploma's theme now, btw :D
@tkorting
5 жыл бұрын
Thanks for your feedback. Please like/share/subscribe and make a good diploma's document. Regards
@greenctenophore
2 жыл бұрын
Thank you! Helpful!
@mustafaatahannuhoglu458
7 жыл бұрын
In order to classify discrete groups correctly you need to break the neighbourhood link otherwise they are all going to be in the same cluster since both neurons are connected. Search for 'A novel self-organizing map (SOM)'
@waynebutane1338
5 жыл бұрын
The learning rate and the neighbourhood radius are modified as the algorithm continues, therefor with each iteration the effect on other neurons will become less.
@jinglu3403
8 жыл бұрын
very clear.. Thanks a lot for your efforts
@tkorting
8 жыл бұрын
+Jing Lu thanks for your feedback. Please subscribe to my channel and share this video with your peers. Regards
@musabara6269
8 жыл бұрын
I got this video helpful, I want to use SOM clustering for grouping students based on their learning styles, can I get more videos to help me?
@tkorting
8 жыл бұрын
+Musa Bara thanks for your feedback, please subscribe to my channel and watch more videos about pattern recognition. SOM is good to such cases of clustering, and to analize several features projected in the 2D space of neurons. Regards
@saimaabbas1020
6 жыл бұрын
sir... I need intrusion detection system matlab source code ....plz sir. sir i can research on IMPLEMENTATION OF AN INTRUSION DETECTION SYSTEM BASED ON SELF ORGANIZING MAP but i cant find matlab code sir plz help me
@tkorting
6 жыл бұрын
Thanks for the feedback, please like and share the video and subscribe to my channel. I am not an expert on intrusion detection, but maybe someone that sees your comment here can help you. Regards
@hendrik6720
5 жыл бұрын
what you want to do is look for outliers in your data. do test cases and optimize against false positives. thats the best I can give u without knowing more about your setup.
@hiraimran4230
9 жыл бұрын
Dear SIr, Can u pls elaborate the importance of neighbourhood function used in SOM?
@tkorting
9 жыл бұрын
Dear Hira Imran, thanks for your feedback. Please subscribe to my channel and share this video with your peers. I will recommend the following article, so that you can go deep into neighborhood functions: www.researchgate.net/publication/220785373_A_Geographical_Approach_to_Self-Organizing_Maps_Algorithm_Applied_to_Image_Segmentation Best regards
@hiraimran4230
9 жыл бұрын
Thales Sehn Körting Thanks alot Sir. ALso i want to ask the basic difference betewwn LVQ1 and SOM. It would be quite helpful as i m preparing for my exams if u could help
@ravedavedave
4 ай бұрын
Nice video! Kudos from a fellow joseense
@RishabhGoyal
7 жыл бұрын
How is it different from K-Means ?
@tkorting
7 жыл бұрын
thanks for your question. please like/share and subscribe to my channel the main difference from k-means is that each cluster converges "alone" to one of the found centers, although in SOM all the clusters are connected, generally in 2D matrices, and when one of them converges to a place, it influences all the neighboring clusters also, allowing a smoother convergence to the clusters. regards
@vishalsuryavanshi7548
4 жыл бұрын
Thanks! That explain a lot for me! Thanks again!
@tkorting
4 жыл бұрын
Good to have this feedback Please subscribe to my channel. Regards
@nmana9759
3 жыл бұрын
How is this different than k means algorithm?
@tkorting
3 жыл бұрын
Hi, the main difference is that centroida here are connected to each other. So when one cluster is updated, the neighbors are updated too. Check previous discussions in this video about the same topic. Please subscribe to my channel. Regards
@GAJENDRASINGH-dm4rc
4 жыл бұрын
nice explanation. i have to so a small project on SOM for my college assignment.Can you suggest me some project ideas that i can do
@saanakorhonen5971
9 жыл бұрын
Really clearly explained, G thanks!
@tkorting
9 жыл бұрын
Dear Saana, thanks for your valuable comments. Please subscribe to my channel and share this video with your peers. Regards
@tatavares1985
3 жыл бұрын
Good job
@dmgeo
5 жыл бұрын
Thank you so much for your explanation
@tkorting
5 жыл бұрын
Thanks for your feedback Please subscribe to my channel Regards
@uditarpit
5 жыл бұрын
what is an neuron? is it just a data point?
@tkorting
5 жыл бұрын
Thanks for your feedback, please like and share the video and subscribe to my channel. In this case the neuron has the same feature space of the input data. So it can be considered as a data point. The convergence of the neurons is given by competition between all neurons. Regards
@waynebutane1338
5 жыл бұрын
As far as I have understood SOMs and neural networks, the neurons are not data points. Neurons are a mathematical function that consists of an input function, an activation function, and an output function. While it might be a good representation to show the neurons in the feature space of the input data, it is not actually the neuron that changes its position, but the winning neuron's weight vector (A vector containing all weights between in the input layer and the neuron) is shifted in the direction of the input vector.
@shivaprasadreddy1395
6 жыл бұрын
Simple and easy Tq for this video
@tkorting
6 жыл бұрын
Thanks for your comment. Please like and share the video and subscribe to my channel. Regards
@bobanas
7 жыл бұрын
Thanks! Very nice and clear!
@tkorting
7 жыл бұрын
+bobanas many thanks for your positive feedback. Please like and share the video. Regards
@chrissgouros7282
4 жыл бұрын
is this SOM or Kneighbors algorithm?
@tkorting
4 жыл бұрын
Thanks for your comments. Indeed both algorithms seem similar from this video. The only difference is the connection between the clusters, or in this case neurons, allowing a smooth convergence. Please subscribe to my channel Regards
@skdkskdk
8 жыл бұрын
Haha, it cost me some points at UNI, altogether is a good explanation but some very vital grid should be shown early on, at least for my profs.
@haohuich
8 жыл бұрын
very well-explained and great illustration. It would be even better if you could explain Geo-SOM as well. :-)
@tkorting
8 жыл бұрын
thanks for your feedback, please subscribe to my channel and share this video with your peers. For the GeoSOM approach, I could recommend a paper in which I briefly explain the method and point to the main reference. www.researchgate.net/publication/220785373_A_Geographical_Approach_to_Self-Organizing_Maps_Algorithm_Applied_to_Image_Segmentation Regards
@nathanbortman7771
7 жыл бұрын
U are from Brazil? Nice ascent. If yes: Muito obrigado pela explição!! If no: My very thanks for the explanation.
@tkorting
7 жыл бұрын
+Nathan Bortman Eu que agradeço ;) Não esqueça de se inscrever no canal e dar like no vídeo. Abraço
@FluffyVooghtje
4 жыл бұрын
Useful! Thanks a lot.
@tkorting
3 жыл бұрын
Thanks for the feedback, please subscribe to my channel
@reassume4826
3 жыл бұрын
What a great explanation pace. .👍Subbed!
@tkorting
3 жыл бұрын
Thanks for the feedback!
@z3082026
11 жыл бұрын
thank you thank you thank you a million times! I got it now!
@joe4038720
10 жыл бұрын
too simple and too helpful many thanks
@tkorting
10 жыл бұрын
Dear Kawazaki, thanks for your valuable comments. Please subscribe to my channel and share this video with your peers. Regards
@lancelotdsouza4705
2 жыл бұрын
Loved the video
@mastergmatquant
7 жыл бұрын
thanks a lot, greetings from University of Hamburg.
@tkorting
7 жыл бұрын
thanks for your feedback please subscribe and like the video regards
@schneeekind
7 жыл бұрын
another thanks from university of hamburg =)
@tkorting
7 жыл бұрын
thanks! hi from Brazil
@timkilian7140
7 жыл бұрын
Another greeting from University of Hamburg. :)
@p0w3rFloW
6 жыл бұрын
and another greeting from University of Hamburg :P
@lauravieira6305
7 жыл бұрын
Muito obrigada por esse vídeo, ajudou muito!
@tkorting
7 жыл бұрын
+Laura Vieira muito obrigado pelo comentário não esqueça de dar like e se inscrever no canal. Abraço
@didbara
10 жыл бұрын
can u write there simple c code?
@tkorting
10 жыл бұрын
Dear daV iD, thanks for your comment. Please subscribe to my channel and share this video with your peers. To find the C++ code, follow these links: svn.dpi.inpe.br/terralib/trunk/terraViewPlugins/geodma/include/som_classifier.h svn.dpi.inpe.br/terralib/trunk/terraViewPlugins/geodma/src/som_classifier.cpp Regards
@didbara
10 жыл бұрын
thanks broo :))
@mariamihaela9
4 жыл бұрын
very nice !
@tkorting
3 жыл бұрын
Thanks for the feedback, please subscribe to my channel
@johnathanparker2182
4 жыл бұрын
I love you. Thanks!
@tkorting
4 жыл бұрын
I don't believe :) Subscribe to my channel
@hendrik6720
5 жыл бұрын
unintentional asmr is putting me to sleep. watch this if u have watched too much asmr and everything else doesnt work.
@tkorting
5 жыл бұрын
Subscribe to my channel and good night
@hendrik6720
5 жыл бұрын
@@tkorting cant believe I missed hitting that subscribe button. thanks for the video!
@tkorting
5 жыл бұрын
you missed because you fall asleep :D
@rosasebnem
10 жыл бұрын
thank you for the very informative video...
@tkorting
10 жыл бұрын
Thanks for your feedback. Please share this video with your peers. Regards
@ahmadjaradat3011
16 күн бұрын
Thank You so much
@zhimoli
5 жыл бұрын
Very helpful!
@tkorting
5 жыл бұрын
Thanks for your feedback Please subscribe to my channel Regards
@Selmy2003
10 жыл бұрын
Thank you.
@tkorting
8 жыл бұрын
+Hend Selmy thanks for your feedback Please subscribe to my channel and share this video with your peers. Regards
@Democracy_Manifest
Жыл бұрын
Good video. Good man
@julit_
7 жыл бұрын
Ajudou bastante, obrigada!
@tkorting
7 жыл бұрын
+Julia Litvinoff Justus muito obrigado pelo seu comentário Não esqueça de dar like e compartilhar o vídeo inscreva-se no meu canal um abraço
@alicefantazzini1590
8 жыл бұрын
Great! Thank you so much :)
@tkorting
8 жыл бұрын
+Alice Fantazzini thanks for your feedback Please subscribe to my channel and share this video with your peers. Regards
@omarjaafor6646
10 жыл бұрын
thank you so much.
@tkorting
10 жыл бұрын
Thanks for sharing my video, please subscribe to my channel kzitem.info Regards
@AAGachi
6 жыл бұрын
thanks for sharing
@tkorting
3 жыл бұрын
Thanks for the feedback, please subscribe to my channel
@qq315465327
6 жыл бұрын
So similar to k nearest mean, at least visually.
@tkorting
6 жыл бұрын
Thanks for your comments. Please like and share the video and subscribe to my channel. You are right to perceive that both algorithms are similar. The most important difference is that the clusters are connected, and the user determines the structure of the network, therefore the convergence of SOM is smoother. Regards
@hendrik6720
5 жыл бұрын
thats because SOMS are a generalization of PCS which is itself a generalization of k means.
@MubsMaster
5 жыл бұрын
thanks for the video :)
@tkorting
5 жыл бұрын
Thanks for your feedback Please subscribe to my channel Regards
@androidterminal3924
9 ай бұрын
thank you bhai
@user-yq6jg2cu1s
7 жыл бұрын
thanks!from tu munich
@tkorting
7 жыл бұрын
thanks for your feedback please like/share the video and subscribe regards
@alexemanuel8875
2 жыл бұрын
o sotaque não engana, é Br
@niroshapriyadarshani6407
11 жыл бұрын
was helpful. Thanks a lot.
@01_abhijeet49
Жыл бұрын
tysm😢
@valeriipotokov9094
10 жыл бұрын
Thank you!
@tkorting
9 жыл бұрын
Valerii Potokov Thanks for your feedback please subscribe to my channel and share this video with your peers. Best regards
@gregerz20
9 жыл бұрын
thank you! very good video!
@tkorting
9 жыл бұрын
Dear gregerz, Thanks for your valuable feedback. Please subscribe to my channel and share this video with your peers. Regards
@MatBat__
2 жыл бұрын
Valeu!
@demetriusdemarcusbartholom8063
Жыл бұрын
ECE 449 UofA
@camillabianco4820
7 жыл бұрын
thank you!
@tkorting
7 жыл бұрын
+Camilla Bianco many thanks for your feedback please like and share the video And subscribe to my channel best regards
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