What are Tensors | Tensor In-depth Explanation | Tensor in Machine Learning

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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[@underratedPie]

I am a Physics student, doing my Work in General Relativity...I just wanna really understand what the Tensors are ...I watched so many KZbin videos about Tensors, but the best explanation is given by You sir, Cuz our syllabus starts from Reiman Curvature Tensor on Reimanian Manifolds (🥵)

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Explained in a very good way.... Real life examples... May God bless you with.... Whatever you want.....

[@bhuvanmangalore4483]

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

[@user-ym1nv1pw8i]

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)

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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!

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Amazing amazing explanation. Thank you!

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Excellent and awesome explanation of very tedious topic in a simpler one.

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sir tabhi macha dee apnay .bohot hi acha tutorial hy

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Amazing one. Thanks for complete explanation

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thank you very much,,,,,,,,nice work and explanation.

[@gunjan25you]

very nice and informative video Nitish..thanks.

[@padhleyaar1234]

very nice explanation

[@kaivalyashah5634]

dude that counting on 5d tensors was pretty fun to watch.

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Superb is your training

[@santoshkamble9189]

Thanks!

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Super machine learning teacher ❤

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Thankyou sir

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Very nicely explained

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Superb explanation

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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

[@life3.088]

ur great sir

[@m.s.rathore9074]

thnak you sir 😊

[@narendraparmar1631]

Thanks

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Legend 🙌

[@aniketpantawne7664]

amazing !!

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i loved it so far but actually i want to apply for data analyst role so which videos should i watch

[@uf9927]

can a collection of frames (3d) with timestamp (dimension) be regarded 5D tensor?

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Superb....

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Really Brilliant Explanation ,,Sir!!! Please Also Start Lectures Regarding Deep learning Algorithms & NLP Too..

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NLP aarha hai aaj se 19:30 ko..channel check out krlo

[@rajtripathi95]

great

[@JustPython]

Good explanation

[@syedasad5037]

best tensor and NLP topic explained in hindi .

[@amir-ulislam9090]

thanks

[@priyankjain9970]

one word... wow

[@khushimalviya3047]

Best!!!

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[@BTStechnicalchannel]

Considering 3D has 3 axis, then infinite no of axis are possible? Also Thanks for an easy and interesting explanation!!!

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Great

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Kasam se bhai 40 min ka laga hi ni. Bohot insightful.

[@karanpratapsinghrathore3363]

amazing

[@dakshitadutta979]

Sir, In 2d tensor if we have [[1,2],[3,4]] then there are 2 vectors or 4 vectors ?

[@sandipansarkar9211]

finished watching

[@shuvadiproy5154]

Can you please tell me which book you follow ?

[@thehardwaretopics8514]

Kya mast padhate h aap

[@amirsohail855]

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?

[@prateekhegde8099]

One correction : Rank is number of independent rows or column of a matrix, this we can find using Guassian elimination kind of methonds

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[@gauravbisht2268]

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

[@Ahmet-nd5ct]

is there any english subtitles of your videos?