Forwarded from Hidden layer
Alternatives to Kaggle/other sites for machine learning & competitions.
Kaggle is the best, but there are a few alternatives:
https://challenger.ai
https://www.crowdai.org
https://www.drivendata.org
https://www.kdd.org
https://codalab.org/
https://www.crowdanalytix.co
https://www.datasciencechallenge.org
https://www.analyticsvidhya.com
https://www.topcoder.com
https://www.kesci.com
https://www.datafountain.cn
https://grand-challenge.org
https://signate.jp
https://www.dcjingsai.com
https://www.innocentive.com
#engineeringML
Kaggle is the best, but there are a few alternatives:
https://challenger.ai
https://www.crowdai.org
https://www.drivendata.org
https://www.kdd.org
https://codalab.org/
https://www.crowdanalytix.co
https://www.datasciencechallenge.org
https://www.analyticsvidhya.com
https://www.topcoder.com
https://www.kesci.com
https://www.datafountain.cn
https://grand-challenge.org
https://signate.jp
https://www.dcjingsai.com
https://www.innocentive.com
#engineeringML
The Thousand Brains Theory: A Framework for Understanding the Neocortex and Building Intelligent Machines
https://www.youtube.com/watch?v=5LFo36g4Lug
#neuroscience #AI #numenta
https://www.youtube.com/watch?v=5LFo36g4Lug
#neuroscience #AI #numenta
YouTube
The Thousand Brains Theory
The Thousand Brains Theory: A Framework for Understanding the Neocortex and Building Intelligent Machines
Recent advances in reverse engineering the neocortex reveal that it is a highly-distributed sensory-motor modeling system. Each cortical column learns…
Recent advances in reverse engineering the neocortex reveal that it is a highly-distributed sensory-motor modeling system. Each cortical column learns…
Forwarded from Tensorflow(@CVision) (Vahid Reza Khazaie)
طبقه بندی متن با استفاده از Flair
Flair delivers state-of-the-art performance in solving NLP problems such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and text classification. It’s an NLP framework built on top of PyTorch.
لینک پست: https://towardsdatascience.com/text-classification-with-state-of-the-art-nlp-library-flair-b541d7add21f
کد: https://github.com/zalandoresearch/flair
#text_classification #nlp #flair
Flair delivers state-of-the-art performance in solving NLP problems such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and text classification. It’s an NLP framework built on top of PyTorch.
لینک پست: https://towardsdatascience.com/text-classification-with-state-of-the-art-nlp-library-flair-b541d7add21f
کد: https://github.com/zalandoresearch/flair
#text_classification #nlp #flair
Medium
Text Classification with State of the Art NLP Library — Flair
Exciting news! A new version of Flair - state-of-the-art NLP library has just been released. Learn how to use it for text classification
Forwarded from AI in Science & Technology
Forwarded from Deleted Account
🔻چهارمین دورهمی مدرسه جهانی هوش مصنوعی در رشت
🔺School of AI
📘موضوع این جلسه: مسائل و الگوریتم های بهینه سازی
🗓دوشنبه 31 تیر 1398
🕐ساعت 9:30 الی 11:30
🏢 دانشکده ی علوم پایه، سالن امتحانات
*جهت ثبت نام به لینک زیر مراجعه کنید:
▪️https://evnd.co/4bvfP
برای کسب اطلاعات بیشتر درباره ی این مدرسه، به کانال زیر مراجعه کنید:
🏢 @schoolofairasht
✅ @Brainandcognition_GU
🔺School of AI
📘موضوع این جلسه: مسائل و الگوریتم های بهینه سازی
🗓دوشنبه 31 تیر 1398
🕐ساعت 9:30 الی 11:30
🏢 دانشکده ی علوم پایه، سالن امتحانات
*جهت ثبت نام به لینک زیر مراجعه کنید:
▪️https://evnd.co/4bvfP
برای کسب اطلاعات بیشتر درباره ی این مدرسه، به کانال زیر مراجعه کنید:
🏢 @schoolofairasht
✅ @Brainandcognition_GU
Introduction to computational thinking and Data Science by MIT
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/
MIT OpenCourseWare
Lecture Videos | Introduction to Computational Thinking and Data Science | Electrical Engineering and Computer Science | MIT OpenCourseWare
MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity
https://www.youtube.com/watch?v=cQ48rP_Rs4g&t=1362s
A great talk about AI-related companies; Silicon Valley and China approach to solving real-world problems and developing apps; and a lot of other exciting topics which are related to technology and AI.
A great talk about AI-related companies; Silicon Valley and China approach to solving real-world problems and developing apps; and a lot of other exciting topics which are related to technology and AI.
YouTube
Kai-Fu Lee: AI Superpowers - China and Silicon Valley | Artificial Intelligence (AI) Podcast
Kai-Fu Lee is the Chairman and CEO of Sinovation Ventures that manages a 2 billion dollar dual currency investment fund with a focus on developing the next g...
A curated list of automated machine learning papers, articles, tutorials, slides and projects
https://github.com/hibayesian/awesome-automl-papers
https://github.com/hibayesian/awesome-automl-papers
GitHub
GitHub - hibayesian/awesome-automl-papers: A curated list of automated machine learning papers, articles, tutorials, slides and…
A curated list of automated machine learning papers, articles, tutorials, slides and projects - hibayesian/awesome-automl-papers
Curating a list of AutoML-related research, tools, projects and other resources
https://github.com/windmaple/awesome-AutoML
https://github.com/windmaple/awesome-AutoML
GitHub
GitHub - windmaple/awesome-AutoML: Curating a list of AutoML-related research, tools, projects and other resources
Curating a list of AutoML-related research, tools, projects and other resources - windmaple/awesome-AutoML
Forwarded from School of AI
Understanding Capsule Networks:
Part I:
https://pechyonkin.me/capsules-1/
Part II:
https://pechyonkin.me/capsules-2/
Part III:
https://pechyonkin.me/capsules-3/
Part IV:
https://pechyonkin.me/capsules-4/
Part I:
https://pechyonkin.me/capsules-1/
Part II:
https://pechyonkin.me/capsules-2/
Part III:
https://pechyonkin.me/capsules-3/
Part IV:
https://pechyonkin.me/capsules-4/
Forwarded from صرفا جهت اطلاع برنامه‌نویسان
☝️با توجه به اینکه گیت هاب داره حساب‌های ایرانی‌ها را بدون اخطار قبلی می‌بنده، توصیه می‌کنیم ریپازیتوری‌هاتون را دانلود کنید.
👈ریپو زیر هم لطفا استار کنید و دست به دست کنید. اگر هفتاد تا استار توی یه روز بخوره ترند می‌شه و دیده می‌شه و صدامون به یه جایی می‌رسه.
🔹https://github.com/1995parham/github-do-not-ban-us
#Github
🔹ارسالی از کاربر
〰️〰️〰️〰️〰️〰️
@programming_tips
👈ریپو زیر هم لطفا استار کنید و دست به دست کنید. اگر هفتاد تا استار توی یه روز بخوره ترند می‌شه و دیده می‌شه و صدامون به یه جایی می‌رسه.
🔹https://github.com/1995parham/github-do-not-ban-us
#Github
🔹ارسالی از کاربر
〰️〰️〰️〰️〰️〰️
@programming_tips
Forwarded from Tensorflow(@CVision) (Vahid Reza Khazaie)
Cyclical Learning Rates with Keras and Deep Learning
Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal learning rate for your model.
Reference: https://www.pyimagesearch.com/2019/07/29/cyclical-learning-rates-with-keras-and-deep-learning/
#cyclical_learning_rates #lr #learning_rate
Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal learning rate for your model.
Reference: https://www.pyimagesearch.com/2019/07/29/cyclical-learning-rates-with-keras-and-deep-learning/
#cyclical_learning_rates #lr #learning_rate
PyImageSearch
Cyclical Learning Rates with Keras and Deep Learning - PyImageSearch
In this tutorial, you will learn how to use Cyclical Learning Rates (CLR) and Keras to train your own neural networks. Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal learning rate for…
Forwarded from The Devs
https://deepmind.com/documents/113/Neuron.pdf
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent
times, however, communication and collaboration between the two fields has become less commonplace.
In this article, we argue that better understanding biological brains could play a vital role in building intelligent
machines. We survey historical interactions between the AI and neuroscience fields and emphasize current
advances in AI that have been inspired by the study of neural computation in humans and other animals. We
conclude by highlighting shared themes that may be key for advancing future research in both fields.
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent
times, however, communication and collaboration between the two fields has become less commonplace.
In this article, we argue that better understanding biological brains could play a vital role in building intelligent
machines. We survey historical interactions between the AI and neuroscience fields and emphasize current
advances in AI that have been inspired by the study of neural computation in humans and other animals. We
conclude by highlighting shared themes that may be key for advancing future research in both fields.