Уменьшение зависимости от размеченных данных у генеративно-состязательных сетей
https://habr.com/ru/post/444768/
https://habr.com/ru/post/444768/
Хабр
Уменьшение зависимости от размеченных данных у генеративно-состязательных сетей
Генеративно-состязательные сети (ГСС) [Generative Adversarial Networks, GAN] – обладающий интересными возможностями класс глубоких генеративных моделей. Их основная идея – обучение двух нейросетей,...
Colorizing Old B&W Photos and Videos With the Help of AI
https://towardsdatascience.com/colorizing-old-b-w-photos-and-videos-with-the-help-of-ai-76ba086f15ec
https://towardsdatascience.com/colorizing-old-b-w-photos-and-videos-with-the-help-of-ai-76ba086f15ec
Medium
Colorizing Old B&W Photos and Videos With the Help of AI
This project is based on a research work developed at the University of California, Berkeley by Richard Zhang, Phillip Isola, and Alexei A…
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction and Logistics
https://www.youtube.com/watch?v=PySo_6S4ZAg
https://www.youtube.com/watch?v=PySo_6S4ZAg
YouTube
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3eJW8yT
Andrew Ng is an Adjunct Professor, Computer Science at Stanford University.
Kian Katanforoosh is a Lecturer, Computer Science…
Andrew Ng is an Adjunct Professor, Computer Science at Stanford University.
Kian Katanforoosh is a Lecturer, Computer Science…
Новый алгоритм в 200 раз ускоряет автоматическое проектирование нейросетей
https://habr.com/ru/post/444920/
https://habr.com/ru/post/444920/
Хабр
Новый алгоритм в 200 раз ускоряет автоматическое проектирование нейросетей
ProxylessNAS напрямую оптимизирует архитектуры нейронных сетей для конкретной задачи и оборудования, что позволяет значительно увеличить производительность по...
Corporates Going All in on Neural Machine Translation Research
https://slator.com/technology/corporates-going-all-in-on-neural-machine-translation-research/
https://slator.com/technology/corporates-going-all-in-on-neural-machine-translation-research/
Slator
Corporates Going All in on Neural Machine Translation Research | Slator
Long the domain of academia, fundamental research in machine translation has become a battleground for big tech and niche providers.
The Actual Difference Between Statistics and Machine Learning
https://towardsdatascience.com/the-actual-difference-between-statistics-and-machine-learning-64b49f07ea3
https://towardsdatascience.com/the-actual-difference-between-statistics-and-machine-learning-64b49f07ea3
Medium
The Actual Difference Between Statistics and Machine Learning
No, they are not the same. If machine learning is just glorified statistics, then architecture is just glorified sand-castle construction.
Simulated Policy Learning in Video Models
http://ai.googleblog.com/2019/03/simulated-policy-learning-in-video.html
http://ai.googleblog.com/2019/03/simulated-policy-learning-in-video.html
Googleblog
Simulated Policy Learning in Video Models
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
https://google.github.io/speaker-id/publications/VoiceFilter/
https://google.github.io/speaker-id/publications/VoiceFilter/
Natural Language Processing
https://www.youtube.com/watch?v=bDxFvr1gpSU
https://www.youtube.com/watch?v=bDxFvr1gpSU
YouTube
Natural Language Processing
Natural Language Processing is a field of Artificial Intelligence dedicated to enabling computers to understand and communicate in human language. NLP is only a few decades old, but we've made significant progress in that time. I'll cover how its changed…
В коре вашего мозга 17 млрд компьютеров
https://habr.com/ru/post/445420/
https://habr.com/ru/post/445420/
Хабр
В коре вашего мозга 17 млрд компьютеров
Нейросеть нейросетей Изображение brentsview под лицензией CC BY-NC 2.0 В мозг поступает информация из внешнего мира, его нейроны получают данные на входе, производят обработку и выдают некий...
Tuning a Multi-Task Pytorch Network on Fate Grand Order
https://towardsdatascience.com/tuning-a-multi-task-fate-grand-order-trained-pytorch-network-152cfda2e086
https://towardsdatascience.com/tuning-a-multi-task-fate-grand-order-trained-pytorch-network-152cfda2e086
Medium
Tuning a Multi-Task Pytorch Network on Fate Grand Order
building and tuning pytorch based multi-task networks
Watch Me Build an AI Startup
https://www.youtube.com/watch?v=NzmoPqte4V4
https://www.youtube.com/watch?v=NzmoPqte4V4
YouTube
Watch Me Build an AI Startup
I'm going to build a medical imaging classification app called SmartMedScan! The potential customers for this app are medical professionals that need to scale and improve the accuracy of their diagnoses using AI. From ideation, to logo design, to integrating…
Why The Data Science Venn Diagram Is Misleading
https://towardsdatascience.com/why-the-data-science-venn-diagram-is-misleading-16751f852063
https://towardsdatascience.com/why-the-data-science-venn-diagram-is-misleading-16751f852063
Medium
Why The Data Science Venn Diagram Is Misleading
Or Why You Should Not Neglect Soft Skills
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
https://www.shortscience.org/paper?bibtexKey=journals/corr/1406.4729
https://www.shortscience.org/paper?bibtexKey=journals/corr/1406.4729
shortscience.org
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition - ShortScience.org
Spatial Pyramid Pooling (SPP) is a technique which allows Convolutional Neural Networks (CNNs) to us...
Confronting Deep Learning Systems: How Much Things Have Changed and How Much We Do Not Know
https://towardsdatascience.com/confronting-deep-learning-systems-how-much-things-have-changed-f067738b728f
https://towardsdatascience.com/confronting-deep-learning-systems-how-much-things-have-changed-f067738b728f
Medium
Confronting Deep Learning Systems: How Much Things Have Changed and How Much We Do Not Know
As companies embrace AI in their business, they are confronting technologies of Deep Learning systems. That is like entering a dark cave…
CS224n: Natural Language Processing with Deep Learning
Stanford / Winter 2019
http://web.stanford.edu/class/cs224n/project.html
Stanford / Winter 2019
http://web.stanford.edu/class/cs224n/project.html