But what is a neural network? | Chapter 1, Deep learning | make sense là gì | Playlist những Mẫu thời trang HOT TREND

Có phải bạn đang muốn tìm hiểu make sense là gì đúng không? Nếu đúng như vậy thì mời bạn xem nó ngay trong bài viết này nhé.

[button color=”primary” size=”medium” link=”#” icon=”” target=”false” nofollow=”false”]XEM CHI TIẾT[/button]

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”

englishlesson englishvocabulary speakingenglish

⌛ Be sure to watch the video TWICE today and ONCE tomorrow to reinforce the English that you have learned!

✅ SUBSCRIBE RIGHT HERE: https://www.youtube.com/channel/UCmW5tmKIBrryNf5n_A6Fmw?sub_confirmation=1

✅ Looking for longer English lessons? My other channel is right here:
https://www.youtube.com/channel/UCZJJTxA36ZPNTJ1WFIByaeA

Meaning of MAKES SENSE A Really Short English Lesson with Subtitles

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 spelling  Gina Cooke

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.

Making sense of how life fits together  Bobbi Seleski

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.

See also  Nước Hoa Nữ Nên Thử ♡ Must Have Perfume For Her ♡ Quin | nước hoa hàn quốc cho nữ | Bộ Sưu Tập những Mẫu thời trang xu hướng nhất

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

Help support us on Patreon!
https://www.patreon.com/jackhartmann

Jack Hartmann’s website: https://jackhartmann.com

Subscribe to our YouTube Channel: https://goo.gl/ogaW1i

Remember to connect with Jack Hartmann on his Social Networks:

Facebook: https://facebook.com/hop2itmusic
Pinterest: https://pinterest.com/jackhartmann
Twitter: https://twitter.com/Jack_Hartmann

You can find Jack Hartmann’s Music on:

Jack Hartmann Website: https://jackhartmann.com
iTunes: https://goo.gl/GeDJeJ
Amazon: https://goo.gl/Ei8C6B
Google Play: https://goo.gl/doZpfS
CD Baby: https://cdbaby.com/Artist/JackHartmann

Words and Music by Jack Hartmann
Copyright 2020
Jack Hartmann’s Hop 2 It Music

What Word Makes Sense? | Jack Hartmann Rhyming Words | Cloze Method

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.

Making sense of irrational numbers  Ganesh Pai

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.

See also  HƯỚNG DẪN CÁCH NẶN MỤN SỢI BÃ NHỜN NHIỀU KINH KHỦNG |phần 356| | mụn nặn ra như sợi chỉ | List Các Mẫu thời trang xu hướng nhất

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.
Download the music on Bandcamp:
https://vincerubinetti.bandcamp.com/album/themusicof3blue1brown

Stream the music on Spotify:

If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then “add subtitles/cc”. I really appreciate those who do this, as it helps make the lessons accessible to more people.

3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you’re into that).

If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended

Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown

But what is a neural network? | Chapter 1, Deep learning

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

A sixth sense for project management | Tres Roeder | TEDxCWRU

Foo Fighters The Pretender


Watch the official music video for “The Pretender” by Foo Fighters
Listen to Foo Fighters: https://FooFighters.lnk.to/listen_YD

Subscribe to the official Foo Fighters YouTube channel: https://FooFighters.lnk.to/subscribeYD

Watch more Foo Fighter videos: https://FooFighters.lnk.to/listen_YC/youtube

Follow Foo Fighters:
Facebook: https://FooFighters.lnk.to/followFI
Instagram: https://FooFighters.lnk.to/followII
Twitter: https://FooFighters.lnk.to/followTI
Website: https://FooFighters.lnk.to/followWI
Spotify: https://FooFighters.lnk.to/followSI
YouTube: https://FooFighters.lnk.to/subscribeYD

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

See also  Búi Tóc Mẹ Chồng, Bà Sui - Kiểu Tóc Đẹp Cho Má Chồng, Búi Tóc Thấp Đơn Giản Đẹp Ngày Cưới ! Kiểu 117 | các kiểu tóc đẹp cho mẹ chồng | List những Mẫu thời trang HOT TREND

FooFighters ThePretender Remastered OfficialMusicVideo

Foo Fighters  The Pretender

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.

Follow us on Twitter

Checkout our Facebook page for TED exclusives
https://www.facebook.com/TED

Making sense of string theory | Brian Greene

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.
Leave a comment was it worth it?

If you want to see more make sure to show your support by SMASHING that like Button.

There is Nothing more fun then Bidding on Abandoned Storage
You can Watch Rene and Casey Nezhoda in their Storage Wars Adventures by Subscribing!

You can also watch us on A&E’s Hit show Storage Wars !!!!!

Check out our Ebay store at 🙂
https://www.ebay.com/str/sdpavilion

Also follow us on Social Media

Instagram : Rbargainhunters
Twitter : Cbargainhunters and Rbargainhunters
Facebook: Bargain Hunters Thrift Store or Rene and Casey Storage Wars Fan Club

And don’t forget to give us a like and subscribe !

We Try to share as much educational stuff that we can so you can go out and make more money !

Storage Wars, Storage Kings, Abandoned Storage Units, Full Episodes Storage Wars, Storage Auctions, I bought an abandoned storage unit, I won an abandoned storage unit, Found in abandoned storage unit, what’s inside, unboxing, mystery unboxing, what’s inside the box, cash found, jewelry found, safe found, treasure found, treasure hunters, auction, online auction, auction house, antiques, collectibles, vintage toys, comic books, comic con, funny videos, funny videos 2020, American Pickers, How to, How to make money, reselling, how to resell, reselling business, make money, how to flip, flipping, eBay, amazon, google, penny list, dumpster diving, how to make profit, profit made, flea market flip, flea market, vintage clothing, retro collectibles, Bargain Hunters Thrift Store .Bargain Hunters , Estate Sales, Garage sales, Estate Sale finds, Garage Sale finds

abandonedstorageunit storagewars treasurehunting

WE PAID $26,000 on 5 Abandoned Storage Wars Auction Units Lockers Rene Casey Nezhoda .

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.

But what is a neural network? | Chapter 1, Deep learning
But what is a neural network? | Chapter 1, Deep learning

>> 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.

49 thoughts on “But what is a neural network? | Chapter 1, Deep learning | make sense là gì | Playlist những Mẫu thời trang HOT TREND”

  1. 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

    Reply
  2. 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.

    Reply
  3. 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."

    Reply
  4. 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 !

    Reply
  5. 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?

    Reply
  6. 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?

    Reply
  7. Traditionally, a bias unit is added to the layer with a value of 1 and an associated weighting parameter. Only on the hidden layers.

    Reply
  8. 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 :-))

    Reply
  9. 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)

    Reply
  10. 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.

    Reply
  11. 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.

    Reply
  12. 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.

    Reply
  13. 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.! ❤️

    Reply

Leave a Comment