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Meaning of MAKES SENSE A Really Short English Lesson with Subtitles
READ ALONG TO PRACTICE YOUR ENGLISH AND TO LEARN THE MEANING OF MAKES SENSE: So in English when we say something “makes sense” it means that it is the logical outcome or that it’s easy to understand why something would happen. So here’s an example: If I put bird feed in this bird feeder then birds will come and eat the bird feed. That “makes sense” doesn’t it, because birds like to eat and this would be free food for the birds. So it makes sense that if you put food in a bird feeder birds come and eat it. Another thing would be if you pump air into a tire, the tire will fill up with air. It makes sense because there’s no way for the air to get out of the tire. So when something “makes sense” it just, it’s logically understandable that that thing would happen. We also have another phrase, things can “make perfect sense” and I think it makes perfect sense that you should watch my videos everyday! Maybe!
WANT MORE ENGLISH LESSONS? GO TO YOUTUBE AND SEARCH, “BOB THE CANADIAN”
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⌛ Be sure to watch the video TWICE today and ONCE tomorrow to reinforce the English that you have learned!
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Making sense of spelling Gina Cooke
View full lesson: http://ed.ted.com/lessons/makingsenseofspellingginacooke
What can spelling tell us about relationships between words? While spelling may sometimes seem random or unexpected, this lesson illuminates how peeling back the layers of spelling helps us understand the complex history and meaningful structure of words.
Lesson by Gina Cooke, animation by The Leading Sheep (http://www.theleadingsheep.com).
Making sense of how life fits together Bobbi Seleski
View full lesson: http://ed.ted.com/lessons/makingsenseofhowlifefitstogetherbobbiseleski
From something as miniscule as a cell to the biosphere we all call home, living things fit together in numerous interesting ways. Bobbi Seleski catalogs biology from our body and beyond, tracking how unicellular organisms, tissues, organs, organ systems, organisms, populations, communities, ecosystems, and our biosphere build off of each other and work together.
Lesson by Bobbi Seleski, animation by Alan Foreman.
What Word Makes Sense? | Jack Hartmann Rhyming Words | Cloze Method
What Word Makes Sense? This Jack Hartmann video What Word Makes Sense? uses the cloze method to ask students to predict the missing word. What Word Makes Sense engages students in listening comprehension utilizing context cues and rhyming words. What Word Makes Sense engages students in active learning and participation while building body and brain connections.
Cloze sentences are sentences in which keywords are deleted, covered up or blocked out. When presented with cloze sentences, students must use context clues to determine the missing word. Cloze sentences are also an engaging way to reinforce vocabulary and language skills.
What Word Makes Sense?
Everybody sing a little country song
All about the animals on the farm
When I leave out a word just do your best
And sing out loud what word makes sense
That’s right
There’s a pig whose name is Bud
He rolls and plays right in the ___________.
mud
There’s a cow whose name is Sue
She eats the grass and when says ___________.
moo
There’s a horse that loves to play
When in the barn she eats her ___________.
hay
There’s some ducks out in the back
They waddle to me and then say __________.
quack
Everybody sing a little country song
All about the animals on the farm
When I leave out a word just do your best
And sing out loud what word makes sense
I see a bunny whose ears just flop
He eats carrots and loves to _________.
hop
I see a little skunk run quick as a wink
Just hold your nose sometimes they __________.
stink
I see a dog drink from a pail
When he’s real happy he wags his _________.
tail
Thee sheep are now so big and full
That Farmer John can sheer their __________.
wool
Everybody sing a little country song
All about the animals on the farm
When I leave out a word just do your best
And sing out loud what word makes sense
And sing out loud what word makes sense
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Making sense of irrational numbers Ganesh Pai
View full lesson: http://ed.ted.com/lessons/makingsenseofirrationalnumbersganeshpai
Like many heroes of Greek myths, the philosopher Hippasus was rumored to have been mortally punished by the gods. But what was his crime? Did he murder guests or disrupt a sacred ritual? No, Hippasus’s transgression was mathematically proving the hitherto unprovable. Ganesh Pai describes the history and math behind irrational numbers.
Lesson by Ganesh Pai, animation by Anton Trofimov.
But what is a neural network? | Chapter 1, Deep learning
What are the neurons, why are there layers, and what is the math underlying it?
Help fund future projects: https://www.patreon.com/3blue1brown
Additional funding for this project provided by Amplify Partners
An equally valuable form of support is to simply share some of the videos.
Special thanks to these supporters: http://3b1b.co/nn1thanks
Full playlist: http://3b1b.co/neuralnetworks
Typo correction: At 14 minutes 45 seconds, the last index on the bias vector is n, when it’s supposed to in fact be a k. Thanks for the sharp eyes that caught that!
For those who want to learn more, I highly recommend the book by Michael Nielsen introducing neural networks and deep learning: https://goo.gl/Zmczdy
There are two neat things about this book. First, it’s available for free, so consider joining me in making a donation Nielsen’s way if you get something out of it. And second, it’s centered around walking through some code and data which you can download yourself, and which covers the same example that I introduce in this video. Yay for active learning!
https://github.com/mnielsen/neuralnetworksanddeeplearning
I also highly recommend Chris Olah’s blog: http://colah.github.io/
For more videos, Welch Labs also has some great series on machine learning:
https://youtu.be/bxe2TV8XRs
For those of you looking to go even deeper, check out the text “Deep Learning” by Goodfellow, Bengio, and Courville.
Also, the publication Distill is just utterly beautiful: https://distill.pub/
Lion photo by Kevin Pluck
Timeline:
0:00 Introduction example
1:07 Series preview
2:42 What are neurons?
3:35 Introducing layers
5:31 Why layers?
8:38 Edge detection example
11:34 Counting weights and biases
12:30 How learning relates
13:26 Notation and linear algebra
15:17 Recap
16:27 Some final words
17:03 ReLU vs Sigmoid
Animations largely made using manim, a scrappy open source python library. https://github.com/3b1b/manim
If you want to check it out, I feel compelled to warn you that it’s not the most welldocumented tool, and has many other quirks you might expect in a library someone wrote with only their own use in mind.
Music by Vincent Rubinetti.
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A sixth sense for project management | Tres Roeder | TEDxCWRU
Tres Roeder is a change agent. As both founder and president of Roeder Consulting and as a Shaker Heights City Councilman, he drives positive change in business, communities, and governments. Since graduating from Northwestern University’s Kellogg School of Management with a Master’s degree in Business Administration, he has authored two Amazon bestsellers, A Sixth Sense for Project Management and Managing Project Stakeholders. As a consultant in project and change management, Mr. Roeder has worked with John Deere, Goodyear, Lowes, Avery Dennison, Chrysler, Vitamix, KeyBank, and other top brands. In his talk, Mr. Roeder will be discussing his experience with change management and how his topics from his bestseller, A Sixth Sense for Project Management, can be applied to college students and their transition into the work force.
www.tedxcwru.com Tres Roeder is a change agent. As both founder and president of Roeder Consulting and as a Shaker Heights City Councilman, he drives positive change in business, communities, and governments. Since graduating from Northwestern University’s Kellogg School of Management with a Master’s degree in Business Administration, he has authored two Amazon bestsellers, A Sixth Sense for Project Management and Managing Project Stakeholders. As a consultant in project and change management, Mr. Roeder has worked with John Deere, Goodyear, Lowes, Avery Dennison, Chrysler, Vitamix, KeyBank, and other top brands. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Foo Fighters The Pretender
Watch the official music video for “The Pretender” by Foo Fighters
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Lyrics:
Keep you in the dark
You know they all pretend
Keep you in the dark
And so it all began
Send in your skeletons
Sing as their bones go marching in… again
The need you buried deep
The secrets that you keep are ever ready
Are you ready?
I’m finished making sense
Done pleading ignorance
That whole defense
FooFighters ThePretender Remastered OfficialMusicVideo
Making sense of string theory | Brian Greene
http://www.ted.com In clear, nontechnical language, string theorist Brian Greene explains how our understanding of the universe has evolved from Einstein’s notions of gravity and spacetime to superstring theory, where minuscule strands of energy vibrating in 11 dimensions create every particle and force in the universe. (This mindbending theory may soon be put to the test at the Large Hadron Collider in Geneva).
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate.
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WE PAID $26,000 on 5 Abandoned Storage Wars Auction Units Lockers Rene Casey Nezhoda
We spend $26,000 on 5 Storage Lockers.
What do you guys think , we got sunburned like crazy as you can see in the video.
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Ngoài xem những thông tin về kiến thức học may này bạn có thể xem thêm nhiều thông tin hữu dụng khác do https://aodaithanhmai.com.vn cung cấp tại đây nhé.
make sense là gì và các Chia sẻ liên quan đến bài viết.
But what is a neural network? | Chapter 1, Deep learning và các hình ảnh liên quan đếnchủ đề này.

>> Ngoài xem nội dung này bạn có thể tìm xem thêm nhiều kiến thức tự học may khác do chúng tôi cung cấp tại đây: Xem thêm các kiến thức học may tại đây.
#neural #network #Chapter #Deep #learning.
three brown one blue,3 brown 1 blue,neural networks,three blue one brown,3 blue 1 brown,machines learning,3brown1blue,3b1b,deep learning,one,Mathematics,blue,three,brown.
But what is a neural network? | Chapter 1, Deep learning.
make sense là gì.
Hy vọng những Kiến thức về chủ đề make sense là gì này sẽ hữu ích cho bạn. Cảm ơn bạn rất nhiều.
9 is a denial within a prime
Thanks YEAH
First i will like the video, pray for you, give a big hug and then watch…Thankyou for everything!
Hii Every one
Wow amazing video. But how did you simulate the neurons movement's. Could you help me with that?
??????
The vigorous maria uniquely change because paul successfully cover a a undesirable birthday. subsequent, common heart
Díky!
When i scrolled through my recommendations, i had an optical illusion due to the connections of the dots in the thumbnail as soon as the thumbnail moved.
Faking society
Sorry but this gave me a stroke watchiny and I'm only on the first part. If somebody wants to help me basically what I got Is, The Algorithm once fully complete looks for specific shapes curves and angles with a bias setting for lenience, Than puts mulite parts of the shape together to see witch shape it most correlates with? Also I wanted yo make this neardy joke. I don't have enough neurons to understand these neurons and Have the information usable in my head
Looks like positronic brain networks aren't that far off. This brings me several steps closer to understanding cascading failures both in AI and actual human neurons. It's exciting. Thank you.
감사합니다.
We have this project to recognize the handwritten numbers and animals in University. This is pretty hard to understand.
Excellent video. I will watch the whole series. You mention that most people don't receive notifications about your videos. Apparently, you cannot sign up for notifications of videos that are "made for children."
I have to clean my screen everytime i watch 3B1B videos
This guy is the master of explanations !
Anyone interested in a serie on ConvNets and/or RNN ?
The fact he mentions them as possible future videos but still didn't do it makes me think he either doesn't have time, or he thinks those models have no future
Thanks !
So are the weights randomly determined when the network starts out? Then slowly over time, the weights start taking shapes that correspond more clearly to digits?
Bullshit!
If im trying to highlight specific pixels is it enough if I add negative weights to the connections im not interested in or do I have to add biases too?
Thanks!
Thanks
Traditionally, a bias unit is added to the layer with a value of 1 and an associated weighting parameter. Only on the hidden layers.
Dislikes are those people who didn't get it.
Thanks for such good video
at 3:51 I paused, clicked on your channel name, viewed the other topics, and then subscribed. Excellent explanation!
Gonna be honest, I find this explanation to be so much clearer and transparent than another popular youtuber's
uhmmm…im living under the rock, so will u explain?
Wow …. you showed that doing your (hard) work, you made the concept so easy for everyone to grasp. Amazing & it wants me to keep learning (& remembering my linear transformation :-))
wow, the value of knowledge… is like 4 years of study in just 20 minutes
Thank you, I’m grade 12 student doing the seminar on the topic of neural network, this video help me very much!
Very impressive video. I just subscribed. What software do you use for creating the videos with the wonderful animation?
Every single time I watch one of your videos, I can't stop being astonished by how genius of an educator you are. Thank you so much for these explanations, you are doing great good for a future generation of technical experts (and more)
Her name Veronica
Suddenly woman appears
It was quite complicated but no less but least
4k: /tidak melulu sedemikian sehingga
Thank you Grant, you are the best…
To get to this channel in the YouTube algorithm start by watching anything where Smarter Every Day does a colab. Then you get recommended Veritasium. In search for deeper understanding of the concepts in those videos on you proceed to PBS Space Time. Because they assume you're already studying quantum physics you go to Minute Physics to get more detail. Then the logical conclusion is you end here and look where you kept those books on learning Python that you never opened 😜
Edit: browsing the videos on this channel shows that it could've been a single hop from "Smarter Every Day does a colab" LOL 😂 Probably there is something like six degrees of separation between YouTube videos on similar topics.
pure gold, bro
There is one problem with the explanation in that video, which may or may not be addressed in your later videos, that I have not watched yet. You seemed to assume that the number 7 would be more or less centered in the window, so that the horizontal line that forms the top of the 7 could be associated with specific pixel locations. But you could have a small 7 in the upper right corner, and none of the pixels located where the horizontal line of the 7 is expected would actually light up. So the system has to be way more sophisticated even just to pick out a 7. It would need to identify a pattern with a more or less continuous, more or less horizontal, line, surrounded at both top and bottom by blacked out patterns. And it would need to do that whether the line was long or short, regardless of where it was located in the window, and regardless of whether it slanted a bit up or down rather than being perfectly horizontal. I can imagine trying to write a formula that would identify such a line, but it would be complicated. And actual neural networks don't work by having people figure out such functions, right. Somehow the machine identifies the relevant pattern. Despite the fact that this video was useful, it must take a lot of study before how this all works gets less opaque.
After i watch this video, i sure that, "just act like software engineer as usual instead of learn about data scientist"
Rong
You can train your neural network for image classification even without writing any code in an Android app called Pocket AutoML. It trains a model right on your phone without sending your photos to some "cloud" so it can even work offline.
With ReLu, the output of the function is no longer between 0 and 1. Is that an issue?
there are exactly 42 bias… this neural network has the answer for everything inside it!!!
squishification
likification
subscribification
sharification
replyification
I have an question ⁉️
Hi, im currently in my journey of studying Data science and machine learning .
But I'm very bad with the needed Linear Algebra, Calculus, statistics Etc.
I'm very sharp with learning and i pick up everything very fast too, so there shouldn't be a problem in learning it.
My question is this, what do i need to know before I jump in to linear algebra Calculus statistics etc for data science and machine learning.?
Would you be so kind and let me know in a replay in what order and what i have to study to get there with the knowledge needed to succeed in those fields….
I'm Very determined, i have given myself 5-10 years to master Data science and machine learning .
I would be so thankful to you if you could give me a guide, and maybe the place i would be able to go over and study all that too, if its on some of your videos I'll study there too.
My idea was to study at Coursera.
Thank you.! ❤️
you are simply one of the greatest gift to humanity….