Online Education - How I Make My Videos

Yannic Kilcher · Beginner ·📰 AI News & Updates ·6y ago

Key Takeaways

Explains how Yannic Kilcher makes his videos using OneNote and other tools

Full Transcript

hi there so a lot of people have been asking me how I make these videos and this is of course relevant now that everyone's work from home and all the schools are converted into online schools all of a sudden a lot of people have to make these online education happen and I think this style of video lends itself to online education so I've quickly go over the process of how to do this and maybe also how to run a university class online right so the process is pretty simple of how I make my videos this might not work for everyone but it works for me I used the Microsoft OneNote in order to scribble on papers basically so the thing is in OneNote you have this insert thing here and you can print out a PDF onto your notebook here right so the way this looks then is you get the PDF in your notebook and you can scribble on it in with this using this draw tab here you can choose a pen and scribble on it you can highlight things and so on and I do this while I record the screen so that's pretty much all there is to it you can then print out again this notebook and you can distribute those annotated PDF if you want now I'm pretty sure this is here inserted as some sort of as a an image so I don't know about the copy/paste ability of the resulting product but here you see this is a paper actually made a video about and that's basically all there is to it it's it's OneNote it's a free free program from Microsoft in order to do the annotating I use in last or last last generation Microsoft Surface tablet that I got for cheap at some point I comes with a nice pen and touch screen so you can basically zoom around and zip around while you do these things in order to record the screen I use this eye spring freecam software it might not be the best but it does work for me well and they have a cool pro edition if you need more features but it works it really well for recording your screen it can record parts of your screen or the full screen you can record with sound so I use a microphone and then I just record the sound from that with the same tool and at the end you get a video file that you can upload to YouTube easy as that if I need to do some editing which is rarely because I am lazy I use either I'm Vee from Apple which comes with an apple operating system so I have a MacBook that I run iMovie on I movies really easy to edit movies on I don't know if there's anything on Windows where it's that easy that comes prepackaged but if I need to do more complicated things I use shortcut which is an open source editor so and I believe that's available for all the platforms and you can do fairly complicated things with a shortcut if you ever need to do that but if I just need to stitch like two or three things together I use iMovie and that's pretty much it for making and recording videos I believe ya well note is that then in order to do a class from from online not all people will just be able to record a video and then upload some of the things you need to do actually live and a lot of people right now use zoom for live basically teleconferencing but you can also do this sort of presenter mode where you present and people can do question of course you can do this via YouTube streaming as well but then it's of course it's a kind of public on YouTube or link accessible with zoom I believe you have more control but of course zoom is a proprietary solution and with the free account you can only get so far so they limit your meetings in length if you have more than I believe three or four people an alternative is jitsi which is open source videoconferencing and the cool thing here is you can actually run your own server such that you can truly have control over everything in order to communicate with lots of people of course people use slack but again slack is a proprietary service and an alternative to that would be rocket chat again where you can run your own server and it is fairly similar to slack in order to collaborate or share just general notes of course Google's suite of Docs and sheets and so on is excellent and for classes especially piazza is a good place you can sign up as a class you can just have have TAS sign up as TAS and you can have your students sign up as students and then the students can ask questions and then other students or the TAS can answer those questions basically a bit of a forum but you can also announce things there for your classes it's pretty cool and it's really geared towards online classes and it's free so I know a lot of universities are using that right now so if you're looking for some sort of announcement or discussion board for your class Piazza is definitely a good place to be and lastly we sometimes have classes where students have to submit projects and we we actually use CMT for this because it's it's really neat where you can you know set deadlines and everything students can upload and then you can assign reviewers to those projects which in our case are us the TAS and you know you can have mentor reviews and so on so since he's actually very good maybe a bit of an overkill if you just run a single class but um it has lots and lots of features and of course the big conferences also use CMT so it's definitely stress tested alright so that was it from for my videos or at least how I make them I just you know print out the PDF sit down for half an hour and rant about it and that's pretty much it and then you throw it on YouTube or distribute the file however you want and with that I hope I answered a little bit of these questions and yep I all wish you healthy rest of the corona season bye

Original Description

Just a short overview of tools I use to make my videos. OneNote - https://www.onenote.com iSpring Free Cam - https://www.ispringsolutions.com/ispring-cam Shotcut - https://shotcut.org Slack - https://slack.com RocketChat - https://rocket.chat Zoom - https://zoom.us Jitsi - https://jitsi.org GDocs - https://www.google.com/docs/about Piazza - https://piazza.com CMT - https://cmt3.research.microsoft.com/About Links: YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher BitChute: https://www.bitchute.com/channel/yannic-kilcher Minds: https://www.minds.com/ykilcher
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Playlist

Uploads from Yannic Kilcher · Yannic Kilcher · 52 of 60

1 Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
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2 Learning model-based planning from scratch
Learning model-based planning from scratch
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3 Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
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4 Attention Is All You Need
Attention Is All You Need
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5 git for research basics: fundamentals, commits, branches, merging
git for research basics: fundamentals, commits, branches, merging
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6 Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
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7 World Models
World Models
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8 Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
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9 Stochastic RNNs without Teacher-Forcing
Stochastic RNNs without Teacher-Forcing
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10 What’s in a name? The need to nip NIPS
What’s in a name? The need to nip NIPS
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11 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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12 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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13 GPT-2: Language Models are Unsupervised Multitask Learners
GPT-2: Language Models are Unsupervised Multitask Learners
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14 Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
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15 The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
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16 Discriminating Systems - Gender, Race, and Power in AI
Discriminating Systems - Gender, Race, and Power in AI
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17 Blockwise Parallel Decoding for Deep Autoregressive Models
Blockwise Parallel Decoding for Deep Autoregressive Models
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18 S.H.E. - Search. Human. Equalizer.
S.H.E. - Search. Human. Equalizer.
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19 Reinforcement Learning, Fast and Slow
Reinforcement Learning, Fast and Slow
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20 Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
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21 I'm at ICML19 :)
I'm at ICML19 :)
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22 Population-Based Search and Open-Ended Algorithms
Population-Based Search and Open-Ended Algorithms
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23 XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
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24 Conversation about Population-Based Methods (Re-upload)
Conversation about Population-Based Methods (Re-upload)
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25 Reconciling modern machine learning and the bias-variance trade-off
Reconciling modern machine learning and the bias-variance trade-off
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26 Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
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27 Manifold Mixup: Better Representations by Interpolating Hidden States
Manifold Mixup: Better Representations by Interpolating Hidden States
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28 Processing Megapixel Images with Deep Attention-Sampling Models
Processing Megapixel Images with Deep Attention-Sampling Models
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29 Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
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30 Auditing Radicalization Pathways on YouTube
Auditing Radicalization Pathways on YouTube
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31 RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
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32 Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
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33 DEEP LEARNING MEME REVIEW - Episode 1
DEEP LEARNING MEME REVIEW - Episode 1
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34 Accelerating Deep Learning by Focusing on the Biggest Losers
Accelerating Deep Learning by Focusing on the Biggest Losers
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35 [News] The Siraj Raval Controversy
[News] The Siraj Raval Controversy
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36 LeDeepChef 👨‍🍳 Deep Reinforcement Learning Agent for Families of Text-Based Games
LeDeepChef 👨‍🍳 Deep Reinforcement Learning Agent for Families of Text-Based Games
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37 The Visual Task Adaptation Benchmark
The Visual Task Adaptation Benchmark
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38 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
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39 AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning
AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning
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40 SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
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41 A neurally plausible model learns successor representations in partially observable environments
A neurally plausible model learns successor representations in partially observable environments
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42 MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
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43 Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
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44 NeurIPS 19 Poster Session
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45 Go-Explore: a New Approach for Hard-Exploration Problems
Go-Explore: a New Approach for Hard-Exploration Problems
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46 Reformer: The Efficient Transformer
Reformer: The Efficient Transformer
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47 [Interview] Mark Ledwich - Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization
[Interview] Mark Ledwich - Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization
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48 Turing-NLG, DeepSpeed and the ZeRO optimizer
Turing-NLG, DeepSpeed and the ZeRO optimizer
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49 Growing Neural Cellular Automata
Growing Neural Cellular Automata
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50 NeurIPS 2020 Changes to Paper Submission Process
NeurIPS 2020 Changes to Paper Submission Process
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51 Deep Learning for Symbolic Mathematics
Deep Learning for Symbolic Mathematics
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Online Education - How I Make My Videos
Online Education - How I Make My Videos
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53 [Rant] coronavirus
[Rant] coronavirus
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54 Axial Attention & MetNet: A Neural Weather Model for Precipitation Forecasting
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55 Agent57: Outperforming the Atari Human Benchmark
Agent57: Outperforming the Atari Human Benchmark
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56 State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication
State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication
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57 Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
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58 POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and Solutions
POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and Solutions
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59 Evaluating NLP Models via Contrast Sets
Evaluating NLP Models via Contrast Sets
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60 [Drama] Who invented Contrast Sets?
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