Update
Added 2017-08-18 21:33:13 +0000 UTCHey everyone,
You might have noticed that the probability series has been a little slow to develop, so I thought I'd give you all a little update for what I'm working on. Right now I'm in the middle of two projects which have a been more heavy on the research side, since each is a little out of my typical wheelhouse.
One is a pair of videos on a certain quantum mechanics topics, done in collaboration with another science YouTuber. It probably won't be until the end of this month that those get published, but so far it's been really fun to map out, and I think you guys will like it a lot.
The other is an introduction to neural networks. I'm shooting for it to be similar to the cryptocurrency video, in terms of what prior knowledge is assumed and how much detail to go into. This is one of those topics where the potential depth feels infinite, so the trick is to find the right way to go deeper than a mere surface level, but without assuming too much.
After each of those, I'll jump back into the probability sequence, probably restructuring the most recent one then diving into a couple of the videos that will show up earlier in the series.
-Grant
Comments
ANN sounds really exciting! But, I kind of hoped to use your videos to learn probability! Can you recommend any other resources on the web or books for intro to probability and stats? Would be really helpful!
2017-09-26 21:56:09 +0000 UTCVery excited for both the ANN and the quantum mechanics videos -- keep it up!
2017-09-04 20:15:48 +0000 UTCHey, guys! Does exist in mathematical point of view, a slope on a Black Hole surface? #Veritasium #3Blue1Brown #TheGoodStuff #PBSSpaceTime 😕
2017-08-27 16:58:53 +0000 UTCas a chinese，i don't very clearly understand what you talk about：）
2017-08-26 13:48:30 +0000 UTCAre you going to take the Bloch sphere approach?
2017-08-24 03:33:52 +0000 UTCWhat do you mean exactly?
3blue1brown
2017-08-24 03:33:32 +0000 UTCThanks so much Karim!
3blue1brown
2017-08-24 03:33:22 +0000 UTCI agree a lot of people have weird ideas about QM, precisely because they haven't been properly introduced to probability and infinite series.
2017-08-23 02:59:24 +0000 UTCThose both sound interesting. I look forward to them. Be careful on the QM side though. It's way too easy to end up in mystical woo when people start discussing it, even when you try to stay in mathematics only.
2017-08-21 22:43:24 +0000 UTCI am so excited for this video!!! Keep up the great work Grant!
2017-08-21 22:40:52 +0000 UTCGreat work Grant! keep it up the whole world is watching you :) you ARE indeed changing the world through these videos- R-E-S-P-E-C-T
2017-08-21 00:38:38 +0000 UTCSounds great! Do you have any plans to explore complex numbers theme?
2017-08-20 19:28:19 +0000 UTCThanks a million for keep bringing us wonderful wonderful knowledge!
2017-08-20 14:29:15 +0000 UTCVery good news, about both, but especially the NN. Not to be greedy, but any chance of making Machine learning into a series? Could be a great next step after probability, if a bit more advanced and applied than your other videos.
Edan Maor
2017-08-19 20:51:44 +0000 UTCSounds exciting! Although backpropagation is simple from a mathematical perspective (just an application of the chain rule), neural networks are notoriously difficult to understand. So I wonder if you have learned any deeper (forgive the pun) insights or ideas as to how we can use mathematics to make sense of them?
Sanjeevan Ahilan
2017-08-19 15:07:21 +0000 UTCThank you for covering NN. When learning backprop I remember being able to flawlessly implement it, but also being incredibly confused.
2017-08-19 07:59:17 +0000 UTCHow amazing! I sure can wait for you to pull off your efforts on making these videos.
2017-08-19 07:21:13 +0000 UTCDamn NN, that's the jam I will be studying a lot during my upcoming PhD career. It's so delighting to see someone like you to help explain it in the visualized way!
2017-08-19 05:51:04 +0000 UTCAs I'm reading his post, it's not about quantum computing, but a topic within quantum mechanics in general. I still can't wait to see it, though, as the math intuition behind quantum mechanics still escapes me.
2017-08-19 04:26:07 +0000 UTCI would walk 500 miles for a video on the math behind quantum mechanics, maybe even a 1000. Seriously though, too many explanations just say things like 'quantum computers are different than regular computers in that all possible versions of the calculation are carried out simultaneously.' I can't wait to get a good look into the actual math behind it!--maybe even a reference to your linear algebra series and its basis (pun intended) in that field.
Ben Granger
2017-08-19 02:50:43 +0000 UTCAwesome! In case that you would like any help or input about NNs I would be happy to lend hand if I could (not that you need it, specially since the math is nothing too hard) - I am soon starting at Google Brain to do research in deep reinforcement learning.
2017-08-18 22:13:49 +0000 UTCAnything in particular that you felt was unmotivated?
3blue1brown
2017-08-18 22:12:52 +0000 UTCHaha, what's funny is that the topic we're doing *does* involve entanglement.
3blue1brown
2017-08-18 22:12:21 +0000 UTCCan't wait to recommend your intro to NNs to my friends! I took the Andrew Ng Coursera class and even if I passed with full grade, I still feel like basic concepts are abstract, or "away" from my grasp - and they shall get closer and more visual - especially the basics.
Enrico Ros
2017-08-18 21:58:37 +0000 UTCThanks for the update; I was wondering what you were up to. Those collaborations sound great, and I eagerly await the Grant-style introduction to neural networks!
Nicholas Sterling
2017-08-18 21:55:49 +0000 UTCSo - in summary quantum entanglement with another Youtuber is causing unexpected results with your probability distribution.
Christopher Burke
2017-08-18 21:51:31 +0000 UTCSounds awesome. Can't wait :)
Janik
2017-08-18 21:35:56 +0000 UTC
