Magic3D: High-Resolution Text-to-3D Content Creation Lin et al.: https://
arxiv.org/abs/2211.10440 #ArtificialIntelligence #DeepLearning #MachineLearning
MACHINE LEARNING
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Magic3D: High-Resolution Text-to-3D Content Generation
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Start Your Computer Vision Journey with OpenCV Foundation Course
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Kick-start your Computer Vision journey with OpenCV!
— Satya Mallick (@LearnOpenCV) 21 novembre 2022
This course is designed to build a strong foundation in Computer Vision.
To know more, head over to https://t.co/V42OWCyUN6
#opencv #learnopencv #computervision #deeplearning #ai #python #career #beginner #course pic.twitter.com/u8NZE5SvFWKick-start your Computer Vision journey with OpenCV!
This course is designed to build a strong foundation in Computer Vision.
To know more, head over to http://
bit.ly/3TSXwCG #opencv #learnopencv #computervision #deeplearning #ai #python #career #beginner #course -
Galton Board Demonstrates Statistical Concepts for Data Science
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From Apparent Chaos to Order
— Pascal Bornet (@pascal_bornet) 21 novembre 2022
This device is a Galton Board. 3,000 beads are dropped to demonstrate several #statistical & #math concepts:
– Central Limit Theorem
– Regression to the Mean
– Normal distribution
– Binomial distribution
– Pascal's Triangle
Crt: I. Korolev#data #ai pic.twitter.com/gD5XzSBvLeFrom Apparent Chaos to Order This device is a Galton Board. 3,000 beads are dropped to demonstrate several #statistical & #math concepts:
– Central Limit Theorem
– Regression to the Mean
– Normal distribution
– Binomial distribution
– Pascal's Triangle Crt: I. Korolev
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Transformers Possess Greater Compositional Power Than MLPs
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Those tasks are irrelevant to my point. You seem to be denying that transformers have more compositional power than MLPs.
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Machine Learning Tools Transform Game Development Workflows
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Integrating Machine-learning Powered Tools in #Game Development Workflow https://
medium.datadriveninvestor.com/integrating-ma
chine-learning-powered-tools-in-game-development-workflow-30aa85f7d526
… #MachineLearning #DeepLearning #AI #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #DataScience #Games #DallE -
Transformers Outperform MLPs for Parsing Tasks
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Transformers are better than MLPs far from the limit. And these papers are about something else. All it takes for my statement to be correct is that a transformer can learn to parse correctly in some cases.
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Transformers Represent Grammar Better Than MLPs
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No, transformers can represent grammar better than (say) MLPs, which is an advance. And they can learn it to a very limited degree, so what I said is accurate.
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Artificial Intelligence Disrupts Healthcare Industry Deeper
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Ripe For Disruption: #ArtificialIntelligence Advances Deeper Into #Healthcare https://
forbes.com/sites/joemcken
drick/2022/11/19/ripe-for-disruption-artificial-intelligence-advances-deeper-into-healthcare/
… @joemckendrick #AI #MachineLearning #DataScience #BigData #Analytics #Startups #100DaysofCode #IoT #serverless #womenwhocode #DeepLearning #DigitalTransformation -
Encoding Grammar in Transformers: Gradient Descent Learning Challenges
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You can encode a grammar into a transformer. The problem is gradient descent is not very good at learning it.
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Intelligence: Similarity and Compositionality in Transformer Models
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Intelligence is similarity + compositionality. Transformers' similarity is dot product of embeddings and their compositionality is attention, both still very primitive.