Artificial Intelligence vs Human Intelligence
https://medium.com/@hassanraha/artificial-intelligence-vs-human-intelligence-4d141ba6216e
https://medium.com/@hassanraha/artificial-intelligence-vs-human-intelligence-4d141ba6216e
Medium
Artificial Intelligence vs Human Intelligence
Widely, there are two categories of people. One, as soon as you read the title of this article, you would readily assume that AI cannot…
Machine learning interpretability techniques
https://towardsdatascience.com/machine-learning-interpretability-techniques-662c723454f3?source=collection_home---4------0---------------------
https://towardsdatascience.com/machine-learning-interpretability-techniques-662c723454f3?source=collection_home---4------0---------------------
Towards Data Science
Black-box vs. white-box models
Most machine learning systems require the ability to explain to stakeholders why certain predictions are made. When choosing a suitable…
The Evolved Transformer - Enhancing Transformer with Neural Architecture Search
https://towardsdatascience.com/the-evolved-transformer-enhancing-transformer-with-neural-architecture-search-f0073a915aca
https://towardsdatascience.com/the-evolved-transformer-enhancing-transformer-with-neural-architecture-search-f0073a915aca
Medium
The Evolved Transformer - Enhancing Transformer with Neural Architecture Search
Neural architecture search (NAS) is the process of algorithmically searching for new designs of neural networks. Though researchers have…
Google Faculty Research Awards 2018
http://ai.googleblog.com/2019/03/google-faculty-research-awards-2018.html
http://ai.googleblog.com/2019/03/google-faculty-research-awards-2018.html
Googleblog
Google Faculty Research Awards 2018
Asymptotic Analysis Explained with Pokémon: A Deep Dive into Complexity Analysis
https://medium.freecodecamp.org/asymptotic-analysis-explained-with-pok%C3%A9mon-a-deep-dive-into-complexity-analysis-8bf4396804e0?source=---------8---------------------
https://medium.freecodecamp.org/asymptotic-analysis-explained-with-pok%C3%A9mon-a-deep-dive-into-complexity-analysis-8bf4396804e0?source=---------8---------------------
freeCodeCamp.org
Asymptotic Analysis Explained with Pokémon: A Deep Dive into Complexity Analysis
Unearthing the complexities of complexity analysis with Pikachu!
Hyper-parameter Tuning Techniques in Deep Learning
https://towardsdatascience.com/hyper-parameter-tuning-techniques-in-deep-learning-4dad592c63c8
https://towardsdatascience.com/hyper-parameter-tuning-techniques-in-deep-learning-4dad592c63c8
Medium
Hyper-parameter Tuning Techniques in Deep Learning
The process of setting the hyper-parameters requires expertise and extensive trial and error. There are no simple and easy ways to set…
Finding similar images using Deep learning and Locality Sensitive Hashing
https://towardsdatascience.com/finding-similar-images-using-deep-learning-and-locality-sensitive-hashing-9528afee02f5
https://towardsdatascience.com/finding-similar-images-using-deep-learning-and-locality-sensitive-hashing-9528afee02f5
Medium
Finding similar images using Deep learning and Locality Sensitive Hashing
A simple walkthrough on finding similar images through image embedding by a ResNet 34 using FastAI & Pytorch. Also doing fast semantic…
How to use Test Driven Development in a Data Science Workflow
https://towardsdatascience.com/tdd-datascience-689c98492fcc
https://towardsdatascience.com/tdd-datascience-689c98492fcc
Medium
How to use Test Driven Development in a Data Science Workflow
Another thing Data Scientists and Machine Learning Engineers should learn from Software Developers
DeepMind: This Card Game Is the Next Frontier for AI Research
https://www.youtube.com/watch?v=cD-eXjf854Q
https://www.youtube.com/watch?v=cD-eXjf854Q
YouTube
DeepMind: The Hanabi Card Game Is the Next Frontier for AI Research
📝 The paper "The Hanabi Challenge: A New Frontier for AI Research" and a blog post is available here:
https://arxiv.org/abs/1902.00506
http://www.marcgbellemare.info/blog/a-cooperative-benchmark-announcing-the-hanabi-learning-environment/
❤️ Pick up cool…
https://arxiv.org/abs/1902.00506
http://www.marcgbellemare.info/blog/a-cooperative-benchmark-announcing-the-hanabi-learning-environment/
❤️ Pick up cool…
Machine Learning Algorithms Full Course | Tutorial
https://www.youtube.com/watch?v=XXHIK4iJYek
https://www.youtube.com/watch?v=XXHIK4iJYek
Reducing the Need for Labeled Data in Generative Adversarial Networks
http://ai.googleblog.com/2019/03/reducing-need-for-labeled-data-in.html
http://ai.googleblog.com/2019/03/reducing-need-for-labeled-data-in.html
Googleblog
Reducing the Need for Labeled Data in Generative Adversarial Networks
Creating AI for GameBoy Part 4: Q-Learning and Variations
https://towardsdatascience.com/creating-ai-for-gameboy-part-4-q-learning-and-variations-2a0d35dd0b1c
https://towardsdatascience.com/creating-ai-for-gameboy-part-4-q-learning-and-variations-2a0d35dd0b1c
Medium
Creating AI for GameBoy Part 4: Q-Learning and Variations
The part we’ve all been waiting for
Kicking neural network automation into high gear
http://news.mit.edu/2019/convolutional-neural-network-automation-0321
http://news.mit.edu/2019/convolutional-neural-network-automation-0321
MIT News
Kicking neural network design automation into high gear
MIT researchers have developed a neural architecture search (NAS) algorithm that designs optimized machine-learning models called convolutional neural networks on ImageNet 200 times faster than Google’s algorithm.
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...