Image and Kernel

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  • เผยแพร่เมื่อ 28 พ.ค. 2019
  • Now that we've learned about linear transformations, we can combine this with what we know about vector spaces to learn about the concepts of image and kernel. Let's get a closer look!
    Script by Howard Whittle
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ความคิดเห็น • 76

  • @arfinsyed
    @arfinsyed 3 ปีที่แล้ว +181

    The most simple explanation that I have found on the entire Internet that explains Image and Kernel after searching for 2 weeks!! THANK A MILLION!!!!!!

  • @a.human.
    @a.human. 2 ปีที่แล้ว +7

    Definitely recommending this video to all my friends and future students studying Linear Algebra

  • @ion9328
    @ion9328 3 ปีที่แล้ว +4

    Finally someone show what it actually means so you can understand what you are actually searching for, thank you!

  • @hcos8139
    @hcos8139 ปีที่แล้ว +3

    Thank you so so much. Every time I have an exam I read the 70 pages with of chapters and I barely understand anything. 5 minutes of your video explains it PERFECTLY clear. Thank you so much

  • @ahmadyogi1340
    @ahmadyogi1340 3 ปีที่แล้ว +18

    Wow this is the best explanation of kernel and image on youtube, thank you so much Professor Dave!

  • @danielmoss7133
    @danielmoss7133 3 ปีที่แล้ว +5

    Fantastic video! Far better explained than in my university lectures

  • @ranitchatterjee5552
    @ranitchatterjee5552 3 ปีที่แล้ว

    People like you deserve great honor!!!

  • @JoseAlvarez-dl3hm
    @JoseAlvarez-dl3hm 4 ปีที่แล้ว +6

    Totally awesome, I finally get it, thank you very much.

  • @BO55
    @BO55 ปีที่แล้ว

    Wow, what an explanation. Even after listening to my prof's video multiple times, didn't get this understanding. This video explained my doubts about why are trying to equate the L(s) = 0 to find the kernel in a pretty elegant way.

  • @__-ni1kz
    @__-ni1kz 2 หลายเดือนก่อน

    Getting halfway through linear algebra and having the prof say "for those of you in engineering, this everything past this point isn't useful to you" really took the wind out of my sails. I hate having to learn these complex abstractions for no reason, when I could be spending my time studying for finals that have utilization in my field. Thank you for a straight forward explanation, once we exited euclidean vector spaces the math became harder to conceptualize.

  • @sohamsantra7548
    @sohamsantra7548 2 ปีที่แล้ว +4

    Professor Dave = Guaranteed success in academics!

  • @Demon0228
    @Demon0228 6 หลายเดือนก่อน

    This helped immensely and simplified the concept so nicely. Appreciate it

  • @geoffrygifari4179
    @geoffrygifari4179 5 ปีที่แล้ว +1

    your explanation has been very concise.... awesome

  • @just4simplegg428
    @just4simplegg428 7 หลายเดือนก่อน

    Thank you, professor, you are truly a Mater. You can explain tough topics in a very easy way! Happy Holidays

  • @lightok111
    @lightok111 3 ปีที่แล้ว

    Really well explained Sir. I'm grateful

  • @lukevillanueva1494
    @lukevillanueva1494 ปีที่แล้ว

    My professor went through the definitions of kernel and image way too quickly in his not-recorded lectures. This saved me, thank you

  • @kmishy
    @kmishy 3 ปีที่แล้ว +7

    Prof Dave, You are sweat heart of every students who loves mathematics.

  • @mladizivko
    @mladizivko ปีที่แล้ว

    Amazing, right to the point. Thanks!

  • @syunegevorgyan
    @syunegevorgyan ปีที่แล้ว

    O thank you. You can't even imagine how you helped me. I was about giving up when I saw your video and I started to understand this theme. thanks very much again

  • @animeshsinghal3405
    @animeshsinghal3405 2 ปีที่แล้ว

    Elegantly explained. Thanks a lot

  • @Firelord375
    @Firelord375 ปีที่แล้ว +2

    For Dave and all the people that make these videos happen, thank you so much!

  • @DheaFikyFatchaturRizky
    @DheaFikyFatchaturRizky 4 ปีที่แล้ว +3

    thankyou for this amazing

  • @phantorang
    @phantorang 5 ปีที่แล้ว +20

    Your haircut looks great, if you were wondering. Other than that, I got no idea what this is about, I guess I will have to read up on it 😁 👍✌

  • @abhijitdeokule1986
    @abhijitdeokule1986 2 ปีที่แล้ว

    best video on image and kernel

  • @CSBPRAKASHDEEPAK
    @CSBPRAKASHDEEPAK 7 หลายเดือนก่อน

    Thanks Professor Dave.

  • @curtpiazza1688
    @curtpiazza1688 2 ปีที่แล้ว

    Thanx Prof Dave!

  • @hamzamehmood4099
    @hamzamehmood4099 5 ปีที่แล้ว +2

    Very nice teacher

  • @nghiatrinh8753
    @nghiatrinh8753 3 ปีที่แล้ว

    this was very helpful

  • @mehdimansouri1547
    @mehdimansouri1547 ปีที่แล้ว

    simple and amazing

  • @catalinaionascu171
    @catalinaionascu171 2 ปีที่แล้ว

    Thank you

  • @kimkakyeong
    @kimkakyeong 2 ปีที่แล้ว

    This guy just turned my last week's 1hr long linear algebra lecture into a 5 min video... Thank you!

  • @put.7070
    @put.7070 2 ปีที่แล้ว

    Thanks!

  • @nomaetamamo6479
    @nomaetamamo6479 ปีที่แล้ว

    nice video, thanks alot

  • @Ahmedibrahim0100
    @Ahmedibrahim0100 2 ปีที่แล้ว

    Thanks alot

  • @tadabae
    @tadabae 3 ปีที่แล้ว

    i finally understand the kernel after soooo long

  • @ranbirsingh494
    @ranbirsingh494 5 ปีที่แล้ว +3

    nice man great

  • @khamishoufar1019
    @khamishoufar1019 3 ปีที่แล้ว

    in machine learning, we have a concept of the kernel in the context of similarity measure between two observations! what is the intuitive explanation about that ..Thanks

  • @anky137339
    @anky137339 3 ปีที่แล้ว

    Hi All , What is the intuition for having Kernel mapped to space W is 0 ? is this shows 0 loss of information when transformed ?
    AND this is great video explaining concepts in 5 mins

  • @ts.nathan7786
    @ts.nathan7786 9 หลายเดือนก่อน

    If you give graphical representation of the transaction L : R^3 --> R^2, and pointing out the kernel, it would be useful.

  • @sajithpriyankaragunawardan4530
    @sajithpriyankaragunawardan4530 3 ปีที่แล้ว

    Too sweet example love much

  • @jademath910
    @jademath910 2 ปีที่แล้ว

    If we have two linear operators on n-dimensional vectors space, say f and g what would be the image(f+g), image f , and image g? can we say that image f = image g?

  • @KidNamedVashin
    @KidNamedVashin 5 ปีที่แล้ว +11

    Thank you, Great explanation! Coincidentally I have an exam about this next week

  • @aishwaryabimaljoy6642
    @aishwaryabimaljoy6642 3 ปีที่แล้ว

    if the vectors of the form like wise is not given in the question how to find the image

  • @mohammadidreesbhat1109
    @mohammadidreesbhat1109 ปีที่แล้ว

    Great...

  • @vaishnavisharma9467
    @vaishnavisharma9467 5 ปีที่แล้ว +4

    Love your videos. Nice haircut btw. Looks great. Can you please make a few videos on calculus too

  • @TheSmartgutt
    @TheSmartgutt ปีที่แล้ว

    What is the difference of the Null space and the kernel then?

  • @sgtivo7330
    @sgtivo7330 4 ปีที่แล้ว +4

    This gets super funny if you watch it at 1.5x the speed... given you already understand the Concept and your head doesn't start smoking.

  • @DogeCharger
    @DogeCharger 4 ปีที่แล้ว +1

    Quick question: If I understand kernels correctly, then that means that the Dimension of them will generally be 1?
    And the Dimension of an Image will generally be what it is equal to -- so if it equals ax^2+bx for example, then the dimension will be 2?

    • @johnmccrae2932
      @johnmccrae2932 4 ปีที่แล้ว +1

      It turns out that the dimensions of the image of a linear map and the kernel of a linear map depend on a property of maps called "rank". Pretty much, if you think of a map as a matrix multiplying a vector in the domain, the rank is how many of the matrix's columns are linearly independent (not multiples of each other). The dimension of the image is the rank, and the dimension of the kernel is the number of columns in the matrix minus the rank.
      Definitely check out Gilbert Strang's linear algebra lectures on MIT OCW if you want to know more (I realise my explanation might be quite dense).

  • @nabanitagoswami6652
    @nabanitagoswami6652 5 ปีที่แล้ว +2

    Sir pls can you teach s..what is rank of matrix and how to find it

  • @bimsara3824
    @bimsara3824 2 ปีที่แล้ว

    easily undersood whole lecture within 5 minutues

  • @wecanplay5363
    @wecanplay5363 ปีที่แล้ว +1

    should'nt kernel be 0,0,0 for the last question as the transformation is from 2 to 3

    • @2kcurse438
      @2kcurse438 3 หลายเดือนก่อน +1

      By definition , set of vectors in R2 that give 0 vector in R3 will be the kernel. That is why because these vectors are from R2.

    • @wecanplay5363
      @wecanplay5363 3 หลายเดือนก่อน

      ​@@2kcurse438okie, 😃👍

  • @gunjansharma6603
    @gunjansharma6603 7 หลายเดือนก่อน

    don't tell me i skipped one test and tried and gave up on this topic three times only to learn it in 5 minutes whaaat

  • @bartman999
    @bartman999 5 ปีที่แล้ว +2

    Why is the rest of this course made private?

    • @ProfessorDaveExplains
      @ProfessorDaveExplains  5 ปีที่แล้ว +2

      I release one per week!

    • @bartman999
      @bartman999 5 ปีที่แล้ว +1

      @@ProfessorDaveExplains Good to know! Looking forward to the rest.

  • @bella-rp2rw
    @bella-rp2rw 2 ปีที่แล้ว +1

    You are the English version of Elia Bombardelli for italian students

  • @leekimjinyoon4473
    @leekimjinyoon4473 5 ปีที่แล้ว +1

    What’s happening?

  • @salamlababidi3042
    @salamlababidi3042 ปีที่แล้ว

    GOAT

  • @the_gis_madiam
    @the_gis_madiam หลายเดือนก่อน

    professor dave has saved another poor student's braincells! (me)

  • @jamesevans2211
    @jamesevans2211 5 ปีที่แล้ว +1

    Second!

  • @ronycb7168
    @ronycb7168 ปีที่แล้ว

    always at .8 or .75 X prof just commented here attendance and for the posterity of mathkind. bad word play sorry but in a hurry to finish this stuff already too late...

  • @bencnu9763
    @bencnu9763 ปีที่แล้ว

    sooooo, where does popcorn come from......i tihnk i missed a step

  • @3Space1time
    @3Space1time 5 ปีที่แล้ว +1

    First view
    First comment
    First like

  • @AyushKumar-cq2ze
    @AyushKumar-cq2ze 2 หลายเดือนก่อน

    😘😘😘

  • @TheAllen501
    @TheAllen501 3 ปีที่แล้ว +3

    thx, my prof is useless

  • @nihalkpdb
    @nihalkpdb 3 หลายเดือนก่อน

    No

  • @KG16888
    @KG16888 10 หลายเดือนก่อน

    not well explained, still confused