#### 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. […]

Read More#### How to make your CPU as fast as a GPU – Advances in Sparsity w/ Nir Shavit

Sparsity is awesome, but only recently has it become possible to properly handle sparse models at good performance. Neural Magic does exactly this, using a plain CPU. No specialized hardware needed, just clever algorithms for pruning and forward-propagation of neural networks. Nir Shavit and I talk about how this is possible, what it means in […]

Read More#### [ML News] Stable Diffusion Takes Over! (Open Source AI Art)

Stable Diffusion has been released and is riding a wave of creativity and collaboration. But not everyone is happy about this — especially artists!

Read More#### Parti – Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

- Frank
- June 24, 2022
- AI
- anubis
- artificial intelligence
- Arxiv
- dall e 2
- dall e 2 vs graphic designer
- dalle
- dalle 2
- dalle2
- Deep Learning
- deep learning tutorial
- diffusion models
- explained
- generative models
- google imagen
- google parti
- google party
- google pathways
- image
- introduction to deep learning
- Machine Learning
- Neural Networks
- Paper
- parti
- what is deep learning

Parti is a new autoregressive text-to-image model that shows just how much scale can achieve. This model’s outputs are crips, accurate, realistic, and can combine arbitrary styles, concepts, and fulfil even challenging requests. Yannic explains the research paper. Time stamps: 0:00 – Introduction 2:40 – Example Outputs 6:00 – Model Architecture 17:15 – Datasets (incl. […]

Read More#### Why AI is Harder Than We Think

- Frank
- May 3, 2021
- AI
- ai spring
- AI Winter
- alan turing
- are neural networks artificial intelligence
- artificial intelligence
- Arxiv
- can machines be conscious
- can machines think
- Deep Learning
- deep learning artificial intelligence
- deep learning tutorial
- elon musk artificial intelligence
- expert systems
- explained
- introduction to deep learning
- Machine Learning
- marvin minsky
- Neural Networks
- Paper
- Self Driving Cars
- what is deep learning
- why is ai hard
- why is deep learning important

Yannic Kilcher explains how the AI community has gone through regular cycles of AI Springs, where rapid progress gave rise to massive overconfidence, high funding, and overpromise, followed by these promises being unfulfilled, subsequently diving into periods of disenfranchisement and underfunding, called AI Winters. This video he explores a paper which examines the reasons for […]

Read More#### GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton’s Paper Explained)

- Frank
- March 3, 2021
- AI
- artificial intelligence
- Arxiv
- attention mechanism
- Capsule Networks
- capsule networks explained
- column
- Computer Vision
- consensus algorithm
- Deep Learning
- deep learning tutorial
- explained
- Geoff Hinton
- geoff hinton capsule networks
- geoff hinton neural networks
- Geoffrey Hinton
- geoffrey hinton deep learning
- geoffrey hinton glom
- glom model
- Google AI
- Google Brain
- hinton glom
- introduction to deep learning
- Machine Learning
- Neural Networks
- Schmidhuber
- transformer

Yannic Kilcher covers a paper where Geoffrey Hinton describes GLOM, a Computer Vision model that combines transformers, neural fields, contrastive learning, capsule networks, denoising autoencoders and RNNs. GLOM decomposes an image into a parse tree of objects and their parts. However, unlike previous systems, the parse tree is constructed dynamically and differently for each input, […]

Read More#### Free Introduction to Deep Learning Class

- Frank
- August 14, 2020
- Deep Learning
- deep learning algorithms
- deep learning applications
- deep learning edureka
- deep learning for natural language processing
- deep learning neural networks
- deep learning simplified
- deep learning tensorflow
- deep learning tutorial
- deep learning tutorial for beginners
- deep learning tutorial python
- deep learning vs machine learning
- deep learning with python
- edureka
- introduction to deep learning
- what is deep learning
- what is deep learning algorithms

edureka! provides a free session from their Deep Learning introductory class.

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