I TRAINED AN AI TO SOLVE 2+2 (w/ Live Coding)

Channel:
Switzerland Yannic Kilcher
Subscribers:
284,000
Published on ● Video Link: https://www.youtube.com/watch?v=udS2OPohs_s


Duration: 11:39
10,939 views
815

#ai #tech #code

A whole bunch of humans are arguing whether 2+2=4 or 2+2=5. Pointless! Let the machines handle this!

Colab: https://colab.research.google.com/drive/1tDjFW7CFGQG8vHdUAVNpr2EG9z0JZGYC?usp=sharing

Disclaimer: This is a joke.

Links:
YouTube: https://www.youtube.com/c/yannickilcher
Twitter: https://twitter.com/ykilcher
Discord: https://discord.gg/4H8xxDF
BitChute: https://www.bitchute.com/channel/yannic-kilcher
Minds: https://www.minds.com/ykilcher
Parler: https://parler.com/profile/YannicKilcher
LinkedIn: https://www.linkedin.com/in/yannic-kilcher-488534136/

If you want to support me, the best thing to do is to share out the content :)

If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
SubscribeStar: https://www.subscribestar.com/yannickilcher
Patreon: https://www.patreon.com/yannickilcher
Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq
Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2
Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m
Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n



Other Videos By Yannic Kilcher


2020-09-07Learning to summarize from human feedback (Paper Explained)
2020-09-02Self-classifying MNIST Digits (Paper Explained)
2020-08-28Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation (Paper Explained)
2020-08-26Radioactive data: tracing through training (Paper Explained)
2020-08-23Fast reinforcement learning with generalized policy updates (Paper Explained)
2020-08-20What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study (Paper Explained)
2020-08-18[Rant] REVIEWER #2: How Peer Review is FAILING in Machine Learning
2020-08-14REALM: Retrieval-Augmented Language Model Pre-Training (Paper Explained)
2020-08-12Meta-Learning through Hebbian Plasticity in Random Networks (Paper Explained)
2020-08-09Hopfield Networks is All You Need (Paper Explained)
2020-08-06I TRAINED AN AI TO SOLVE 2+2 (w/ Live Coding)
2020-08-04PCGRL: Procedural Content Generation via Reinforcement Learning (Paper Explained)
2020-08-02Big Bird: Transformers for Longer Sequences (Paper Explained)
2020-07-29Self-training with Noisy Student improves ImageNet classification (Paper Explained)
2020-07-26[Classic] Playing Atari with Deep Reinforcement Learning (Paper Explained)
2020-07-23[Classic] ImageNet Classification with Deep Convolutional Neural Networks (Paper Explained)
2020-07-21Neural Architecture Search without Training (Paper Explained)
2020-07-19[Classic] Generative Adversarial Networks (Paper Explained)
2020-07-16[Classic] Word2Vec: Distributed Representations of Words and Phrases and their Compositionality
2020-07-14[Classic] Deep Residual Learning for Image Recognition (Paper Explained)
2020-07-12I'M TAKING A BREAK... (Channel Update July 2020)


Tags:
deep learning
machine learning
arxiv
explained
neural networks
ai
artificial intelligence
paper
2+2
twitter
woke
math
algebra
james lindsay
culture
definition
gan
generative adversarial networks
generator
discriminator
live coding
deep learning tutorial