Crazymuse
In this video, we are going to look into not so exciting developments that connect Deep Learning with Knowledge Graph and GANs… let’s just hope it’s more fun than “Machine Learning Memes for Convolutional Teens”.
GAN Explained Link : https://www.youtube.com/watch?v=hQv8FNaJHEA
The bot in the video is R2D2, which comes after OB1’s 2nd gen in Star Wars. Audio change was a bit tricky.
Topics Covered in the video
1. Graph Convolutional Networks
2. Semi-supervised Learning
3. Knowledge Graphs and Ontology
4. Embedding in Knowledge Graphs
5. Adversarial Learning in Knowledge Graphs (KBGANs)
Please contribute to the initiative by donating to us via Patreon because we need the money to scale up our efforts and bring creative weirdos and nerdy dreamers together.
Patreon Link: https://www.patreon.com/crazymuse
Even something as small as 1$ per creation can make a collective difference. Join us on slack if you want to contribute to the scripts that we write for the video.
Slack Link : https://goo.gl/GFW2My
Contributors for the Video
1. Script Writer : Jaley Dholakiya
2. Reviewers : Arjun Shetty, Sidharth Aiyar, Saikat Paul
3. Animator and Moderator : Jaley Dholakiya
References
1. Blog on Graph Convolutional Network : https://tkipf.github.io/graph-convolutional-networks/
2. Semi-supervised learning in Knowledge Graphs (Gaussian Field): http://mlg.eng.cam.ac.uk/zoubin/papers/zgl.pdf
3. Trans-E embedding (NIPS) : https://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-relational-data.pdf
4. Trans-D embedding : http://www.aclweb.org/anthology/P15-1067
5. KBGANs : https://arxiv.org/pdf/1711.04071.pdf
Current Contributors on Patreon ( https://www.patreon.com/crazymuse )
1. Aaron Mathew (main contributor)
2. Parth Parikh
3. Sean Marrett
4. Laher D
5. Abhijith N
AI , Machine Learning , KBGANs, DBPedia, Facebook Graphs
Source
I still didn't understand fully why negative samples are required? Btw the video is very awesome…the illustration are cool and clear 🙂
Obi Wan Kenobi is not a droid! Its R2D2. Great video btw 🙂
The cute Droid in the video is r2d2, I deeply apologize to Star wars fans. I hope that my life is safe :p. I realized it after audio recording, but was too late . The audio patch was looking shabby so went ahead with mistake. Sad part is that my 3 reviewers like me, didn't watch all Star wars movies :(.so as penence, I have decided to binge watch all 5 remaining movies this weekend. Peace ✌️
great video, funky presentation!
Good engaging video, I will look into adversarial video. I am struggling to understand transformer model, it would be great to learn with this kind of graphics and plus it has cool name 🙂
Nice team work guys! Great work of presenting novel stuffs and so elegantly! Liked your channel punchline!
Very interesting video. It makes me research more about it. However, I don't understand how do you generate the weight vector? And also, why the matrix has 0s and 1s? Is it about the relation between entities? Thank you!
Thank you very informative
brilliant, …lit as f***
Not only your content is so informative , your presentation and animation effects are so nice! Can you share a hint of which tool you use to make this video, and how many hour you use to create a great content like this ?
so, a person can be treated like criminal without actual evidence of crime.
i stopped watching at this freaky moment. this is bloody stupid.
nice work. it was very informative, at least for me
Great job!
Nice video man! You really summarized lots of concepts in a visual and understandable way, thanks!
nice presentation, thank you, although not fully understand at some point… but still quite informative…
Captivating and deep (no punt intented)
Very good presentation…. Good clarity for a general person
sorry guys but pretty bad video.
Knowledge is power