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But what is a Neural Network? | Deep learning, chapter 1
Home page: www.3blue1brown.com/
Brought to you by you: 3b1b.co/nn1-thanks
Additional funding provided by Amplify Partners
Full playlist: 3b1b.co/neural-networks
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: 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! github.com/mnielsen/neural-networks-and-deep-learning
I also highly recommend Chris Olah's blog: colah.github.io/
For more videos, Welch Labs also has some great series on machine learning: youtu.be/i8D90DkCLhI youtu.be/bxe2T-V8XRs
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: 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. github.com/3b1b/manim
If you want to check it out, I feel compelled to warn you that it's not the most well-documented 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: vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
Stream the music on Spotify: open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
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: 3b1b.co/recommended
Various social media stuffs:
Website: www.3blue1brown.com
Twitter: twitter.com/3Blue1Brown
Patreon: patreon.com/3blue1brown
Facebook: www.facebook.com/3blue1brown
Reddit: www.reddit.com/r/3Blue1Brown
The astonishingly real virtual baby that laughs, cries — and learns | Mark Sagar | TEDxChristchurch
This talk was given at a local TEDx event, produced independently of the TED Conferences. In this jaw-dropping talk, Academy Award winner Dr. Mark Sagar demonstrates his Baby X: a virtual baby that laughs, cries, and learns, driven by a complex series of brain, neural and somatosensory models.
Academy Award winner Dr. Mark Sagar is the director of the Laboratory for Animate Technologies at the Auckland Bioengineering Institute, where his interest is in bringing digital characters to life using artificial nervous systems to empower the next generation of human computer interaction. His laboratory is pioneering neurobehavioral animation that combines biologically based models of faces and neural systems to create live, naturally intelligent, and highly expressive interactive systems. Mark previously worked as the Special Projects Supervisor at Weta Digital and Sony Pictures Imageworks and developed technology for the characters in blockbusters such as Avatar, King Kong, and Spiderman 2. His pioneering work in computer-generated faces was recognized with two consecutive Scientific and Engineering Oscars in 2010 and 2011. Dr. Sagar holds a Ph.D. in Bioengineering and is a recipient of the University of Auckland’s 2012 Distinguished Alumni Award.
About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
When Rehearsal Becomes The Show: Stephen Colbert's First-Ever No-Audience Late Show Monologue
For the first time ever, Stephen Colbert hosted The Late Show without an audience after New York City ordered its Broadway theaters to go dark in an effort to halt the spread of the coronavirus. #Colbert #Monologue #Coronavirus
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Watch The Late Show with Stephen Colbert weeknights at 11:35 PM ET/10:35 PM CT. Only on CBS.
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Get new episodes of shows you love across devices the next day, stream live TV, and watch full seasons of CBS fan favorites anytime, anywhere with CBS All Access. Try it free! bit.ly/1OQA29B
— The Late Show with Stephen Colbert is the premier late night talk show on CBS, airing at 11:35pm EST, streaming online via CBS All Access, and delivered to the International Space Station on a USB drive taped to a weather balloon. Every night, viewers can expect: Comedy, humor, funny moments, witty interviews, celebrities, famous people, movie stars, bits, humorous celebrities doing bits, funny celebs, big group photos of every star from Hollywood, even the reclusive ones, plus also jokes.
