❇️ New fast.ai course about NLP
💠 https://www.fast.ai/2019/07/08/fastai-nlp

https://www.youtube.com/watch?v=Tyz1jRfyWgY
#ReinforcementLearning #Control #Robotics

🔻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

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://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 curated list of automated machine learning papers, articles, tutorials, slides and projects
https://github.com/hibayesian/awesome-automl-papers

Curating a list of AutoML-related research, tools, projects and other resources
https://github.com/windmaple/awesome-AutoML

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/

☝️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

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

The little book of Python anti-patterns.

#book #tutorial #python
@thedevs

https://kutt.it/ajHCsL

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.

A handful of podcasts, labs, projects, and groups which are involved both Neuroscience and Artificial Intelligence:
NeuroAILab: Aim to "reverse engineer" the algorithms of the brain, both to learn about how our minds work and to build more effective artificial intelligence systems.
Learning in Neural Circuits (LiNC) Laboratory: Study general principles of learning and memory in neural networks with the ultimate goal of understanding how real and artificial brains can optimize behaviour.
Human Brain Project: The Human Brain Project (HBP) is building a research infrastructure to help advance neuroscience, medicine and computing. It is one of four FET (Future and Emerging Tehcnology) Flagships, the largest scientific projects ever funded by the European Union.
Center for Brains, Minds and Machines: Understanding how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines is arguably one of the greatest challenges in science and technology. This group brings together computer scientists, cognitive scientists, and neuroscientists to create a new field—the Science and Engineering of Intelligence.
Center for Theoretical Neuroscience: they aim to establish, through the quality of the Center's research, the excellence of its trainees, and the impact of its visitor, dissemination, and outreach programs, a new cooperative paradigm that will move neuroscience to unprecedented levels of discovery and understanding. We believe we have one of the most exciting and interactive environments anywhere for bringing theoretical approaches to Neuroscience.
Unsupervised Thinking: a podcast about neuroscience, artificial intelligence and science more broadly
#NeuroScience #MachineLearning

A well explained video about Neocortex
https://youtu.be/x2mYTaJPVnc
#NeuroScience

A practical guide to managing your attention— a powerful resource you have to get stuff done, become more creative, and live a meaningful life.