This is a game changer! (AlphaTensor by DeepMind explained)
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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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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 […]
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[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!
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Parti – Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
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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. […]
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What is Deep Learning? | Deep Learning Tutorial For Beginners | Edureka | Deep Learning Rewind – 2
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Frank
- December 6, 2021
- Deep Learning
- deep learning algorithms
- deep learning applications
- 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
- what is deep learning
- what is deep learning algorithms
This Edureka “What is Deep Learning” video will help you to understand the relationship between Deep Learning, Machine Learning and Artificial Intelligence. It will also explain what is Deep learning and how Deep Learning overcame Machine Learning limitations and different real-life applications of Deep Learning.
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Free Deep Learning Full 6 Hour Course
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Frank
- June 26, 2021
- Deep Learning
- deep learning algorithms
- deep learning applications
- deep learning complete tutorial
- deep learning edureka
- deep learning for beginners
- deep learning frameworks
- deep learning full course
- deep learning training
- deep learning tutorial
- deep learning tutorial for beginners
- deep learning with tensorflow
- simplilearn
- simplilearn deep learning
- tensorflow deep learning tutorial
- tensorflow tutorial
- tensorflow tutorial for beginners
- what is deep learning
Simplilearn posted this full six hour deep learning course that you can take for free!
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Deep Learning with Python Tutorial
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Frank
- June 24, 2021
- Deep Learning
- deep learning applications
- deep learning basics with python
- deep learning for natural language processing
- deep learning neural networks
- deep learning tensorflow
- deep learning tutorial
- deep learning tutorial for beginners
- deep learning tutorial python
- deep learning vs machine learning
- deep learning with python
- deep learning with tensorflow
- edureka
- Neural Network
- neural network python
- what is deep learning
- what is deep learning algorithms
edureka! posted this deep learning in Python tutorial that’s a great resource.
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Why AI is Harder Than We Think
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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 […]
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Deep Networks Are Kernel Machines
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Frank
- February 18, 2021
- AI
- artificial intelligence
- Arxiv
- data representations
- Deep Learning
- deep neural networks
- explained
- kernel machines
- kernel trick
- learning theory
- Linear Regression
- Machine Learning
- machine learning theory
- math proof
- nearest neighbor
- Neural Networks
- neural networks gradient descent
- Paper
- pedro domingos
- proof
- representation learning
- representations
- representer theorem
- SGD
- stochastic gradient descent
- Support Vector Machine
- SVM
- what is deep learning
Yannic Kilcher explains the paper “Every Model Learned by Gradient Descent Is Approximately a Kernel Machine.” Deep Neural Networks are often said to discover useful representations of the data. However, this paper challenges this prevailing view and suggest that rather than representing the data, deep neural networks store superpositions of the training data in their […]
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Free Introduction to Deep Learning Class
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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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