This is a game changer! (AlphaTensor by DeepMind explained)
-
Frank
- October 19, 2022
- AI
- ai matrix multiplication
- alpha tensor
- alpha tensor explained
- alpha zero
- alphatensor explained
- AlphaZero
- alphazero math
- artificial intelligence
- Arxiv
- Deep Learning
- deep learning tutorial
- Deep Mind
- DeepMind
- deepmind alphatensor
- deepmind math
- explained
- google deep mind
- google deepmind
- introduction to deep learning
- Machine Learning
- matrix multiplication
- matrix multiplication reinforcement learning
- Neural Networks
- Paper
- what is deep learning
Matrix multiplication is the most used mathematical operation in all of science and engineering. Speeding this up has massive consequences. Thus, over the years, this operation has become more and more optimized. A fascinating discovery was made when it was shown that one actually needs less than N^3 multiplication operations to multiply to NxN matrices. […]
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AlphaCode Explained: AI Code Generation
-
Frank
- February 15, 2022
- AI
- AI AlphaCode
- AI Codex
- Alpha Code
- AlphaCode
- AlphaCode AI
- artificial intelligence
- attention
- billion
- billion parameter
- codex
- codex ai
- Deep Mind
- DeepMind
- explained
- Explanation
- gopher explained
- Gopher Model
- GPT-2
- gpt-3
- gpt-4
- language modeling
- Large Language Model
- logic reasoning
- Machine Learning
- ML
- Natural Language Processing
- NLP
- OpenAI
- OpenAI Codex
- Retro
- self attention
- Self-Attention
- Self-Supervised Learning
- sota
- State of the Art
- Text Generation
- transformer
AlphaCode is DeepMind’s new massive language model for generating code. It is similar to OpenAI Codex, except for in the paper they provide a bit more analysis. The field of NLP within AI and ML has exploded get a lot more papers all the time. Hopefully this video can help you understand how AlphaCode works […]
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NFNets: High-Performance Large-Scale Image Recognition Without Normalization
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Frank
- February 15, 2021
- AI
- artificial intelligence
- Arxiv
- batch norm
- batch normalization
- batchnorm
- best imagenet model
- best neural network
- Deep Learning
- deep learning code
- deep learning tutorial
- Deep Mind
- DeepMind
- distributed training
- explained
- gradient clipping
- imagenet
- JAX
- layer normalization
- Machine Learning
- machine learning explained
- machine learning tutorial
- mean shift
- ml code
- Neural Networks
- nfnet
- nfnets
- nfnets code
- nfresnet
- normalizer-free
- Paper
- weight standardization
Yannic Kilcher explains NFNets in this video.
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End-to-End Adversarial Text-to-Speech
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Frank
- June 12, 2020
- adversarial
- AI
- aligner
- alignment
- artificial intelligence
- Arxiv
- convolutions
- Deep Learning
- Deep Mind
- DeepMind
- discriminator
- dynamic time warping
- explained
- GAN
- gaussian kernel
- Machine Learning
- mel
- Neural Networks
- Paper
- phonemes
- sound wave
- spectrogram
- Speech
- text-to-speech
- tokens
- tts
Text-to-speech engines are usually multi-stage pipelines that transform the signal into many intermediate representations and require supervision at each step. When trying to train TTS end-to-end, the alignment problem arises: Which text corresponds to which piece of sound? This paper uses an alignment module to tackle this problem and produces astonishingly good sound. Paper: https://arxiv.org/abs/2006.03575 […]
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Deep Learning New Frontiers
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Frank
- March 29, 2020
- 6.s191
- 6s191
- adversarial attacks
- AI
- Alexander Amini
- amini
- artificial intelligence
- AutoML
- ava soleimany
- bayesian deep learning
- Computer Vision
- deep evidential regression
- Deep Learning
- deep learning basics
- deep learning python
- Deep Mind
- deeplearning
- evidential deep learning
- generalization
- graph neural networks
- Introduction
- lecture 2
- Machine Learning
- MIT
- mit deep learning
- Neural Networks
- OpenAI
- soleimany
- TensorFlow
- tensorflow tutorial
- what is deep learning
MIT Introduction to Deep Learning 6.S191: Lecture 6 with Ava Soleimany. Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!! Lecture Outline 0:00 – Introduction 0:58 – Course logistics 3:59 – Upcoming guest lectures 5:35 – Deep learning and expressivity […]
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AI Animation Tutorial
-
Frank
- October 26, 2019
- after effects
- AI animation
- AI software 2019
- AI tutorial
- Animating with AI
- animation style transfer
- artificial intelligence
- ben marriott
- deep face tutorial
- deep fake animation
- Deep Mind
- DeepFakes
- E B synth
- easy AI
- easy AI software
- EbSynth
- how to animate with AI
- how to use AI
- Machine Learning
- machine learning tutorial
- simpsons deep fakes
- simpsons deep mind
- Style Transfer
- style transfer AI
- style transfer tutorial
- the simpsons AI
Ben Marriott uses the style-transfer software EbSynth on animated footage to see if you really can change the style using a single reference frame. EbSynth is technically not an artificial intelligence software, It uses style transfer to get its results. I put AI in the title and thumbnail because it does what most people would […]
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DeepMind’s New Dreams Up Videos on Many Topics
In this video, Two Minute Papers explores the paper “Efficient Video Generation on Complex Datasets.”
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The Power of Self-Learning Systems
In this video from a recent talk at MIT, Demis Hassabis discusses the capabilities and power of self-learning systems. He illustrates this with reference to some of DeepMind’s recent breakthroughs, and talks about the implications of cutting-edge AI research for scientific and philosophical discovery. What’s more impressive, is Demis’ biography. From the description: Speaker Biography: […]
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