Uploaded March 2020 | Updated September 2026, 2 weeks ago
There's a new $20,000 challenge on Kaggle that uses a dataset titled "The Abstraction and Reasoning Corpus". The aim of this episode is to get you up to speed as fast as possible so that you can participate. This challenge is hosted by Francois Chollet, the creator of the popular deep learning library Keras, and there are still 3 months to go. The goal is to create an algorithm that can learn the relationship between input-output pairs of colored tiles. Sounds simple at first, but upon closer inspection, creating an algorithm that's able to do so given such a small dataset requires genuine AI innovation. Deep Learning won't work because it requires big datasets and expensive compute, so even though this challenge is difficult, it's also the most accessible! We'll be learning about the dataset, related paper, and the various techniques that Kagglers have already attempted. Then, we'll learn about Neural Program Synthesis and future directions that could ultimately solve this problem. Enjoy!
Subscribe for more educational videos! It means a lot to me.
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Kaggle Challenge:
kaggle.com/c/abstraction-and-reasoning-challenge/overview
ARC Dataset:
github.com/fchollet/ARC
Convolutional Network Kernel:
kaggle.com/tarunpaparaju/arc-competition-eda-pytorch-cnn
Cellular Automata Kernel:
kaggle.com/arsenynerinovsky/cellular-automata-as-a-language-for-reasoning
Genetic Algorithm Kernel:
kaggle.com/zenol42/dsl-and-genetic-algorithm-applied-to-arc
Really great paper on Neural Program Synthesis:
arxiv.org/abs/1802.02353
Intro to Convolutional Networks:
youtube.com/watch?v=FTr3n7uBIuE
Intro to Genetic Algorithms:
youtube.com/watch?v=9zfeTw-uFCw
Intro to Cellular Automata:
youtube.com/watch?v=DKGodqDs9sA
Simple PointerNet example:
github.com/keon/pointer-networks/blob/master/PointerLSTM.py
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Signup for my newsletter for exciting updates in the field of AI:
goo.gl/FZzJ5w
Credits:
Kaggle & Kagglers
Francois Chollet
Google Image Search for the image assets
And please support me on Patreon:
patreon.com/user?u=3191693 Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
There's a new $20,000 challenge on Kaggle that uses a dataset titled "The Abstraction and Reasoning Corpus". The aim of this episode is to get you up to speed as fast as possible so that you can participate. This challenge is hosted by Francois Chollet, the creator of the popular deep learning library Keras, and there are still 3 months to go. The goal is to create an algorithm that can learn the relationship between input-output pairs of colored tiles. Sounds simple at first, but upon closer inspection, creating an algorithm that's able to do so given such a small dataset requires genuine AI innovation. Deep Learning won't work because it requires big datasets and expensive compute, so even though this challenge is difficult, it's also the most accessible! We'll be learning about the dataset, related paper, and the various techniques that Kagglers have already attempted. Then, we'll learn about Neural Program Synthesis and future directions that could ultimately solve this problem. Enjoy!
Subscribe for more educational videos! It means a lot to me.
TWITTER: bit.ly/2OHYLbB
WEBSITE: bit.ly/2OoVPQF
INSTAGRAM: bit.ly/312pLUb
FACEBOOK: bit.ly/2OqOhx1
Kaggle Challenge:
kaggle.com/c/abstraction-and-reasoning-challenge/overview
ARC Dataset:
github.com/fchollet/ARC
Convolutional Network Kernel:
kaggle.com/tarunpaparaju/arc-competition-eda-pytorch-cnn
Cellular Automata Kernel:
kaggle.com/arsenynerinovsky/cellular-automata-as-a-language-for-reasoning
Genetic Algorithm Kernel:
kaggle.com/zenol42/dsl-and-genetic-algorithm-applied-to-arc
Really great paper on Neural Program Synthesis:
arxiv.org/abs/1802.02353
Intro to Convolutional Networks:
youtube.com/watch?v=FTr3n7uBIuE
Intro to Genetic Algorithms:
youtube.com/watch?v=9zfeTw-uFCw
Intro to Cellular Automata:
youtube.com/watch?v=DKGodqDs9sA
Simple PointerNet example:
github.com/keon/pointer-networks/blob/master/PointerLSTM.py
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Signup for my newsletter for exciting updates in the field of AI:
goo.gl/FZzJ5w
Credits:
Kaggle & Kagglers
Francois Chollet
Google Image Search for the image assets
And please support me on Patreon:
patreon.com/user?u=3191693 Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
