What are Tensors | Tensor In-depth Explanation | Tensor in Machine Learning
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- เผยแพร่เมื่อ 22 ก.ค. 2024
- A tensor is a generalization of vectors and matrices and is easily understood as a multidimensional array. In the general case, an array of numbers arranged on a regular grid with a variable number of axes is known as a tensor. A vector is a one-dimensional or first-order tensor and a matrix is a two-dimensional or second-order tensor. Tensor notation is much like matrix notation with a capital letter representing a tensor and lowercase letters with subscript integers representing scalar values within the tensor. Many of the operations that can be performed with scalars, vectors, and matrices can be reformulated to be performed with tensors. As a tool, tensors and tensor algebra is widely used in the fields of physics and engineering. It is a term and set of techniques known in machine learning in the training and operation of deep learning models that can be described in terms of tensors.
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⌚Time Stamps⌚
00:00 - Intro
03:30 - What are Tensors?
03:40 - What are 0D Tensor/Scalar
06:10 - 1D Tensor/Vector
10:30 - 2D Tensor/Matrices
12:15 - ND Tensors
15:21 - Rank, Axes and Shape
18:25 - Example of 1D Tensor
23:28 - Example of 2D Tensor
25:45 - Example of 3D Tensor
32:35 - Example of 4D Tensor
35:14 - Example of 5D Tensor
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He has not only mastered theory behind concepts but also can elaborate many real life cases and also extra informations arround it. No one can think of asking the question but he just knows that we need to know about it. really great youtube channel.
fr bruhhh for realllll!!!!!!!!
one of the well invested 40 minutes in my life! Really you are a gifted teacher!!! World needs more teachers like you brother. So I hope one day you start explaning in English 😊✌🏼
Just cause he explains things in hindi we r here to listen him and cause he is teaching in hindi he is able to do that best for us so please don't ask him for it even though if he can.😊
@@kali2989his title should be in Hindu too
why doesnt anyone explain concepts like this . Its so well explained .Paid lakhs of rupees to join some course which dosesnt explain the basic concepts like tensor before teachng complex topics like CNN, CV. Here i'm getting for free. Truly amazed by the generosity of tutors like him , who do it for free of cost. Truly admirable
Hats off to your decision of teaching this course in HINDI bcoz now I feel that I can learn throughout the day as it is easy to follow and my mind doesn't have to be extra focussed to understand the concepts.
I am a Physics student, doing my Work in General Relativity...I just wanna really understand what the Tensors are ...I watched so many TH-cam videos about Tensors, but the best explanation is given by You sir, Cuz our syllabus starts from Reiman Curvature Tensor on Reimanian Manifolds (🥵)
Like everyone else, I can safely say this was the best 40 minutes I ever invested.
Thanks a lot sir!
Example :
3D Tensor- Time series data
4D Tensor- Collection of Images (computer vision)- RGB
5D Tensor- Collection of Videos (Collection of frames)
Just love the way you are explaining things Sir ! Even a kindergarten student can understand ! Great service and God bless you Sir !
40 minutes well spent!... Thank you for the wonderful learning!
Doesnt matter if the video was of 40min, all of it was well spent and worth it. Clear explanation.
This is probably one of the most useful videos I have watched ever. Superb explaination!!
Explained in a very good way....
Real life examples... May God bless you with.... Whatever you want.....
The world needs you brother. Knowledge ka bhandar . Love your videos.
your way of explaining the concepts makes me visualize the things. helps me a lot. now I understand things better than ever. thanks
Feel like God give me the best reward of Ramadan. Thanks CampusX. I am following your 100 days ML series and also watching other playlists.
This is one of the best explanation for Tensors. Special shoutout to organizing the 5 examples which you have provided. This is going to be in my knowledge forever. Thank you
You are the master of this domain. Best teacher there.
I feel like it was worth 40 minutes. I didn't even know when the video had ended. This concept is clear to me, and now I don't have to memorize it because I understand the concept properly. Thanks to you, sir!
For free you gave this material for, I can't say how it helpful for us, thank you, sir. keep uploading more knowledge full content.
This channel is underrated for the quality content that it provides. Really good explanation
All concept are cleared...learned with 40 mins...👍
Uff sir Mashallah Kiya way hai ap ka teaching ka qasam sy sir live you from pak mein ny apny SB doaton sy ap ka channel share Kiya k ap ko subscribe Karen ..ap best ho .
Ap ka lecture sunty way kabhi boriyat nai hoe Banda hypnotized ho jata hai ap k lecture k Duran .wao mein khush qismat Hun k ap k lecture sun pa Raha Hun ..
Sir, your videos are truly easy to understand such complex topics. Thank you so much to make this channel in Hindi. Your videos are really useful.
Hi Nitish Sir, your tutorials have quality content and your teaching makes it easier to understand, thanks a lot for this series. :D
Thank you Sir for an extra knowledge about images...It was so excited and beneficial for me🤓
Best video with best explanation, thank you very much, it’s much helpful for me and I believe others too
Awesome, seriously you are one of the best on this platform, your way of teaching is superb, keep it up, and I wish you all the best.
Thank you sir for this wonderful playlist.
Amazing one. Thanks for complete explanation
sir tabhi macha dee apnay .bohot hi acha tutorial hy
Amazing amazing explanation. Thank you!
Most to the things you are discussing here I already learn in my class, but its really nice to see Revision with you .
Excellent and awesome explanation of very tedious topic in a simpler one.
wowww... I love your explanation and you are teaching a very difficult topics in very simple way.. thank you sir :)
l a m following your every lecture bc every vedios is enriching me thank you sir!!
Thanku so much sir subscribed and recommended to 15 friends
Wah bhaiya great, kya padhate ho aap 👍🏻😘
Very nice explanation sir.... Thank you so much sir 😁
Thankyou so much Sir for this easy to understand and very informative lecture .
Brilliance
Naman to your selfless seva 💜💜
Bro you're amazing💕💕💕💕💕💕 thank you so much
Ustaad e Mohtaram .. u r the best
very nice and informative video Nitish..thanks.
What a explanation , Thank You
Thankyou so much sir for providing such a great content
simply brilliant!
Superb is your training
thank you very much,,,,,,,,nice work and explanation.
Super machine learning teacher ❤
dude that counting on 5d tensors was pretty fun to watch.
Great Lecture 😍
i loved it so far but actually i want to apply for data analyst role so which videos should i watch
It was truly awesome dude
hi sir, if I want to study like to understand one algo & then doing the end to end project from your playlist,, how should I go through
Amazing content!
best channel and videos ever
life saver.......thank you
Very nicely explained
very nice explanation
what an awesome video!!!!
can a collection of frames (3d) with timestamp (dimension) be regarded 5D tensor?
Kasam se bhai 40 min ka laga hi ni. Bohot insightful.
Considering 3D has 3 axis, then infinite no of axis are possible?
Also Thanks for an easy and interesting explanation!!!
Good explanation
Thankyou so much Sir
Sir, In 2d tensor if we have [[1,2],[3,4]] then there are 2 vectors or 4 vectors ?
Superb explanation
Superb....
Aur numbers add krne m vector ki dimensions badh jaegi kya aise toh matrix m toh dimensions badte rhenge as per the increaseing the no of values
best tensor and NLP topic explained in hindi .
Thanks!
Thank you so much sir
ur great sir
amazing !!
Really Brilliant Explanation ,,Sir!!! Please Also Start Lectures Regarding Deep learning Algorithms & NLP Too..
NLP aarha hai aaj se 19:30 ko..channel check out krlo
Amazing
Great
Sir at 29:05 you are explaining 3D tenser. Sir if we have sentences of three words then it will become 3D tenser and the final tenser will be 4D. Then in NLP practically we do not use 3D tenser we use ND tenser because it depends on the length of the sentence. Am I correct?
Love you sir ❤️
Thankyou sir
Thanks
25:27 , first he is talking about input, then the next 'input', he means to say output* -> n-dimensional array.
amazing
thnak you sir 😊
Legend 🙌
Can you please tell me which book you follow ?
Dronacharya for me, for many ❤
One correction : Rank is number of independent rows or column of a matrix, this we can find using Guassian elimination kind of methonds
hi can anyone tell where can i find the notebook link of this 100 days of ml
Best!!!
great
Sir please send all notes machine learning every video 😊
is there any english subtitles of your videos?
sir best video just little problem with sound quality else content quality is like old Taarak Mehta Ka Olta Chasma best
thanks
one word... wow
Are these complete 100 lectures... I donot see any 100 days videos in your playlists
Big Fan 👏
Kya mast padhate h aap