https://habr.com/post/434886/
Разработка аналога FindFace одним школьником
#machinelearning #neuralnets #deeplearning #машинноеобучение
Наш телеграмм канал - https://yangx.top/ai_machinelearning_big_data
Разработка аналога FindFace одним школьником
#machinelearning #neuralnets #deeplearning #машинноеобучение
Наш телеграмм канал - https://yangx.top/ai_machinelearning_big_data
How to use machine learning for anomaly detection and condition monitoring
https://towardsdatascience.com/how-to-use-machine-learning-for-anomaly-detection-and-condition-monitoring-6742f82900d7?source=collection_home---4------2---------------------
https://towardsdatascience.com/how-to-use-machine-learning-for-anomaly-detection-and-condition-monitoring-6742f82900d7?source=collection_home---4------2---------------------
Towards Data Science
How to use machine learning for anomaly detection and condition monitoring
In this article, I will introduce a couple of different techniques and applications of machine learning and statistical analysis, and then…
Lifelong / Incremental Deep Learning - Ramon Morros - UPC Barcelona 2018
🔗 Lifelong / Incremental Deep Learning - Ramon Morros - UPC Barcelona 2018
https://telecombcn-dl.github.io/2018-dlai/ Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia dat...
🔗 Lifelong / Incremental Deep Learning - Ramon Morros - UPC Barcelona 2018
https://telecombcn-dl.github.io/2018-dlai/ Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia dat...
YouTube
Lifelong / Incremental Deep Learning - Ramon Morros - UPC Barcelona 2018
https://telecombcn-dl.github.io/2018-dlai/ Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia dat...
13. Object Detection: лекция
🔗 13. Object Detection: лекция
В этом видео Илья Захаркин (ФИВТ МФТИ, NeurusLab) расскажет об одном из самых важных применений свёрточных нейросетей -- о детектировании объектов на изображ...
🔗 13. Object Detection: лекция
В этом видео Илья Захаркин (ФИВТ МФТИ, NeurusLab) расскажет об одном из самых важных применений свёрточных нейросетей -- о детектировании объектов на изображ...
YouTube
13. Object Detection: лекция
В этом видео Илья Захаркин (ФИВТ МФТИ, NeurusLab) расскажет об одном из самых важных применений свёрточных нейросетей -- о детектировании объектов на изображениях.
Вы узнаете о датасетах, использующихся для обучения детекторов, познакомитесь с метриками…
Вы узнаете о датасетах, использующихся для обучения детекторов, познакомитесь с метриками…
A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
https://towardsdatascience.com/a-comprehensive-hands-on-guide-to-transfer-learning-with-real-world-applications-in-deep-learning-212bf3b2f27a
🔗 A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
Deep Learning on Steroids with the Power of Knowledge Transfer!
https://towardsdatascience.com/a-comprehensive-hands-on-guide-to-transfer-learning-with-real-world-applications-in-deep-learning-212bf3b2f27a
🔗 A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
Deep Learning on Steroids with the Power of Knowledge Transfer!
Medium
A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
Deep Learning on Steroids with the Power of Knowledge Transfer!
🎥 An introduction to Reinforcement Learning
👁 1 раз ⏳ 987 сек.
👁 1 раз ⏳ 987 сек.
This episode gives a general introduction into the field of Reinforcement Learning:
- High level description of the field
- Policy gradients
- Biggest challenges (sparse rewards, reward shaping, ...)
This video forms the basis for a series on RL where I will dive much deeper into technical details of state-of-the-art methods for RL.
Links:
- "Pong from Pixels - Karpathy": http://karpathy.github.io/2016/05/31/rl/
- Concept networks for grasp & stack (Paper with heavy reward shaping): https://arxiv.org/abs/Vk
An introduction to Reinforcement Learning
This episode gives a general introduction into the field of Reinforcement Learning:
- High level description of the field
- Policy gradients
- Biggest challenges (sparse rewards, reward shaping, ...)
This video forms the basis for a series on RL where I…
- High level description of the field
- Policy gradients
- Biggest challenges (sparse rewards, reward shaping, ...)
This video forms the basis for a series on RL where I…
10 Machine Learning Interview Questions - ANSWERED
🎥 10 Machine Learning Interview Questions - ANSWERED
👁 2 раз ⏳ 719 сек.
🎥 10 Machine Learning Interview Questions - ANSWERED
👁 2 раз ⏳ 719 сек.
We cover 10 machine learning interview questions. Have you had interesting interview experiences you'd like to share? Leave them in the comments!
My channel: https://www.youtube.com/c/CodeEmporium
To submit your video to CS Dojo Community, please use this link: https://csdojo.io/enter
REFERENCES:
[1] Interview Questions: https://www.springboard.com/blog/machine-learning-interview-questions/
[2] Generative Vs Discriminative: https://stats.stackexchange.com/questions/12421/generative-vs-discriminative
[3]:Vk
10 Machine Learning Interview Questions - ANSWERED
We cover 10 machine learning interview questions. Have you had interesting interview experiences you'd like to share? Leave them in the comments!
My channel: https://www.youtube.com/c/CodeEmporium
To submit your video to CS Dojo Community, please use this…
My channel: https://www.youtube.com/c/CodeEmporium
To submit your video to CS Dojo Community, please use this…
High Density Region Estimation with KernelML
https://towardsdatascience.com/high-density-region-estimation-with-kernelml-2cd453192e9b?source=collection_home---4------1---------------------
https://towardsdatascience.com/high-density-region-estimation-with-kernelml-2cd453192e9b?source=collection_home---4------1---------------------
Towards Data Science
High Density Region Estimation with KernelML
KernelML is a brute force optimizer that uses fully customizable loss functions, parameter constraints, and sampling methods. The package…
Geometric Deep Learning on Graphs and Manifolds
https://www.youtube.com/watch?v=LvmjbXZyoP0
🎥 Geometric Deep Learning on Graphs and Manifolds - #NIPS2017
👁 126 раз ⏳ 7489 сек.
https://www.youtube.com/watch?v=LvmjbXZyoP0
🎥 Geometric Deep Learning on Graphs and Manifolds - #NIPS2017
👁 126 раз ⏳ 7489 сек.
The purpose of the proposed tutorial is to introduce the emerging field of geometric deep learning on graphs and manifolds, overview existing solutions and applications for this class of problems, as well as key difficulties and future research directions
Michael Bronstein · Joan Bruna · arthur szlam · Xavier Bresson · Yann LeCunYouTube
Geometric Deep Learning on Graphs and Manifolds - #NIPS2017
The purpose of the proposed tutorial is to introduce the emerging field of geometric deep learning on graphs and manifolds, overview existing solutions and applications for this class of problems, as well as key difficulties and future research directions…
High Throughput Search for New Plasmonic Materials — Ethan Shapera
🔗 High Throughput Search for New Plasmonic Materials -- Ethan Shapera
Plasmonics seeks to manipulate light at the nanoscale. Precise control over plasmon response enables many applications including: sub-wavelength waveguides, ...
🔗 High Throughput Search for New Plasmonic Materials -- Ethan Shapera
Plasmonics seeks to manipulate light at the nanoscale. Precise control over plasmon response enables many applications including: sub-wavelength waveguides, ...
YouTube
High Throughput Search for New Plasmonic Materials -- Ethan Shapera
Plasmonics seeks to manipulate light at the nanoscale. Precise control over plasmon response enables many applications including: sub-wavelength waveguides, ...
TensorFlow for JavaScript
🔗 TensorFlow for JavaScript
TensorFlow.js is the recently-released JavaScript version of TensorFlow that runs in the browser and Node.js. In this talk, the team introduced the TensorFlo...
🔗 TensorFlow for JavaScript
TensorFlow.js is the recently-released JavaScript version of TensorFlow that runs in the browser and Node.js. In this talk, the team introduced the TensorFlo...
YouTube
TensorFlow for JavaScript
TensorFlow.js is the recently-released JavaScript version of TensorFlow that runs in the browser and Node.js. In this talk, the team introduced the TensorFlo...
Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates
🔗 Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates
🔗 Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates
MachineLearningMastery.com
Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates - MachineLearningMastery.com
Supervised learning is challenging, although the depths of this challenge are often learned then forgotten or willfully ignored. This must be the case, because dwelling too long on this challenge may result in a pessimistic outlook. In spite of the challenge…
A disciplined approach to neural network hyper-parameters
Recommendations on how to optimize learning rate, weight decay, momentum and batch size.
ArXiV: https://arxiv.org/pdf/1803.09820.pdf
Recommendations on how to optimize learning rate, weight decay, momentum and batch size.
ArXiV: https://arxiv.org/pdf/1803.09820.pdf
Data Science with Medium Story Stats in Python
A Python toolkit for data science with Medium article statistics
https://towardsdatascience.com/analyzing-medium-story-stats-with-python-24c6491a8ff0
🔗 Analyzing Medium Story Stats with Python – Towards Data Science
Data science with my Medium article statistics and simple Python tools you can use for yourself!
A Python toolkit for data science with Medium article statistics
https://towardsdatascience.com/analyzing-medium-story-stats-with-python-24c6491a8ff0
🔗 Analyzing Medium Story Stats with Python – Towards Data Science
Data science with my Medium article statistics and simple Python tools you can use for yourself!
Medium
Data Science with Medium Story Stats in Python
Data science with my Medium article statistics and simple Python tools you can use for yourself!
https://habr.com/post/434934/
Как масштабируется обучение искусственного интеллекта
#machinelearning #neuralnets #deeplearning #машинноеобучение
Наш телеграмм канал - https://yangx.top/ai_machinelearning_big_data
Как масштабируется обучение искусственного интеллекта
#machinelearning #neuralnets #deeplearning #машинноеобучение
Наш телеграмм канал - https://yangx.top/ai_machinelearning_big_data
Habr
Как масштабируется обучение искусственного интеллекта
Мы в OpenAI обнаружили, что масштаб градиентного шума [gradient noise scale], простой статистический метод, предсказывает параллелизуемость обучения нейтральной...
DeepMind’s Take on How To Create a Benign AI
🎥 DeepMind’s Take on How To Create a Benign AI
👁 1 раз ⏳ 255 сек.
🎥 DeepMind’s Take on How To Create a Benign AI
👁 1 раз ⏳ 255 сек.
The paper "Scalable agent alignment via reward modeling: a research direction" is available here:
1. https://arxiv.org/abs/1811.07871
2. https://medium.com/@deepmindsafetyresearch/scalable-agent-alignment-via-reward-modeling-bf4ab06dfd84
Pick up cool perks on our Patreon page:
› https://www.patreon.com/TwoMinutePapers
We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
313V, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Brian Gilman, ChristiVk
DeepMind’s Take on How To Create a Benign AI
The paper "Scalable agent alignment via reward modeling: a research direction" is available here:
1. https://arxiv.org/abs/1811.07871
2. https://medium.com/@deepmindsafetyresearch/scalable-agent-alignment-via-reward-modeling-bf4ab06dfd84
Pick up cool perks…
1. https://arxiv.org/abs/1811.07871
2. https://medium.com/@deepmindsafetyresearch/scalable-agent-alignment-via-reward-modeling-bf4ab06dfd84
Pick up cool perks…
Artwork Personalization at Netflix | Data Council NYC '18
🔗 Artwork Personalization at Netflix | Data Council NYC '18
ABOUT THE TALK: For many years, the main goal of the Netflix personalized recommendation system has been to get the right titles in front each of our members...
🔗 Artwork Personalization at Netflix | Data Council NYC '18
ABOUT THE TALK: For many years, the main goal of the Netflix personalized recommendation system has been to get the right titles in front each of our members...
YouTube
Artwork Personalization at Netflix | Data Council NYC '18
ABOUT THE TALK: For many years, the main goal of the Netflix personalized recommendation system has been to get the right titles in front each of our members...