​Overcome Overfitting During Instance Segmentation with Mask-RCNN

🔗 Overcome Overfitting During Instance Segmentation with Mask-RCNN
Training Mask-RCNN on only 1,349 annotated images

🎥 Resolving the duality between securing artificial intelligence and using AI for security
👁 1 раз ⏳ 2418 сек.
In this session, Abhik Roychoudhury and Michael Beck discuss how businesses can leverage artificial intelligence, machine learning, and deep learning. They also talk about how businesses can understand how to augment human security to bolster defense. Roychoudhury is a professor at the National University of Singapore's school of computing and director of its Cybersecurity Consortium. Beck is the global head of threat analysis at Darktrace.

This session is from MIT Technology Review's Leadership Summit, h

​Computer Vision Intern – Zurich
https://ai-jobs.net/job/computer-vision-intern-zurich/

🔗 Computer Vision Intern - Zurich | ai-jobs.net
We are continuously advancing the state of the art in computer vision and machine learning. At Apple, we have a balanced mix of research and focus on delivering only the best products. We are looking …

​OpenAI Safety Gym: A Safe Place For AIs To Learn 💪

🔗 OpenAI Safety Gym: A Safe Place For AIs To Learn 💪
❤️ Check out Linode here and get $20 free credit on your account: https://www.linode.com/papers 📝 The paper "Benchmarking Safe Exploration in Deep Reinforcement Learning" is available here: https://openai.com/blog/safety-gym/ 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Alex Haro, Anastasia Marchenkova, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Benji Rabhan, Brian Gilman, Bryan Learn, Christian Ahlin, Claudio Fernandes, Daniel Hasegan, Dan

​Data Science подборка книг

Наш телеграм канал - tglink.me/ai_machinelearning_big_data

📝 R for Data Science Import, Tidy, Transform, Visualize, and Model Data 1st Edition, Kindle Edition [2017] Wickham, Grolemund.pdf - 💾34 604 361

📝 Murtaza Haider-Getting Started with Data Science_ Making Sense of Data with Analytics-IBM Press (2015).pdf - 💾39 150 376

📝 Data Smart - Using Data Science to Transform Information into Insight.epub - 💾58 617 930

📝 Python for R Users A Data Science Approach.epub - 💾33 418 894

📝 Data Science. Наука о данных с нуля Джоэл Грас.pdf - 💾22 829 808

📝 Data_Science_from_Scratch-_First_Principles_with_Python.pdf - 💾5 842 217

📝 Naked Statistics_ Stripping the Dread from the Data by Wheelan Charles.epub - 💾1 151 078

​Project in R - Uber Data Analysis Project - DataFlair

🔗 Project in R - Uber Data Analysis Project - DataFlair
R Uber data analysis project - Analyzing the Uber Pickups in New York City dataset. Create data visualizations and use R packages

​Google Thought I Was a Man

🔗 Google Thought I Was a Man
How Facebook and Google build a picture of who you really are

#artificialintelligencetutorial #artificialintelligence #aitutorialforbeginners
Artificial Intelligence Tutorial | AI Tutorial for Beginners | Intellipaat

🎥 Artificial Intelligence Tutorial | AI Tutorial for Beginners | Intellipaat
👁 1 раз ⏳ 23382 сек.
➡In this artificial intelligence tutorial you will learn end to end about ai and it's vast domain. So this ai tutorial for beginners is an exhaustive tutorial for you to get started with ai.
🔥Intellipaat artificial intelligence course: https://intellipaat.com/artificial-intelligence-masters-training-course/
📕 Read complete artificial intelligence tutorial here: https://intellipaat.com/blog/tutorial/artificial-intelligence-tutorial/
#artificialintelligencetutorial #artificialintelligence #aitutorialforbegin

​RVOS: End-to-End Recurrent Network for Video Object Segmentation
CVPR 2019
CODE
https://imatge-upc.github.io/rvos/

🔗 RVOS: End-to-End Recurrent Network for Video Object Segmentation
Description here

​Pre-Debate Material
"Making the Mind"
Why we've misunderstood the nature-nurture debate.
GARY MARCUS : http://bostonreview.net/books-ideas/gary-marcus-making-mind
#AIDebate

🔗 Making the Mind
From the Archive: Why we've misunderstood the nature-nurture debate.

🎥 AWS re:Invent 2019: Leadership session: Machine learning (AIM218-L)
👁 1 раз ⏳ 3229 сек.
We are embarking on the golden age of machine learning. Many of the constraints that typically held back the application of machine learning in the real world are starting to disappear. AWS offers a significant breadth and depth of cloud services. In this leadership session, we explore the democratization of machine learning and how the growth of cloud services makes it easy for customers to move from idea to production with machine learning.

​Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education | Artificial Intelligence Podcast

🔗 Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education | Artificial Intelligence Podcast
Sebastian Thrun is one of the greatest roboticists, computer scientists, and educators of our time. He led development of the autonomous vehicles at Stanford that won the 2005 DARPA Grand Challenge and placed second in the 2007 DARPA Urban Challenge. He then led the Google self-driving car program which launched the self-driving revolution. He taught the popular Stanford course on Artificial Intelligence in 2011 which was one of the first MOOCs. That experience led him to co-found Udacity, an online educati

​The Agony and the Ecstasy of my First Open Source Contribution

🔗 The Agony and the Ecstasy of my First Open Source Contribution
My first open source contribution wasn’t all smooth sailing, but it sure was thoroughly rewarding

​Using Convolutional Neural Networks to Generate Harmony

🔗 Using Convolutional Neural Networks to Generate Harmony
Explores the data representation and temporal resolution on subjective quality and the negative log-likelihood of generated notes.

🎥 Microsoft SEAL
👁 1 раз ⏳ 4494 сек.
The Private AI Bootcamp offered by Microsoft Research (MSR) focused on tutorials of building privacy-preserving machine learning services and applications with homomorphic encryption (HE). Around 30 PhD students were invited to gather at the Microsoft Research Lab in Redmond on Dec 2nd – 4th, 2019. The program contents were specifically designed for training. Participants mastered the use of HE, the Microsoft SEAL library, and the methodology behind building privacy-preserving machine learning solutions. As

​ИИ, пытающийся избежать проблем, научился сложному поведению

В обучении с подкреплением (Reinforcement Learning) часто используется любопытство в качестве мотивации для ИИ. Заставляющее его искать новые ощущения и исследовать окружающий мир. Но жизнь полна неприятных сюрпризов. Можно упасть с обрыва и с точки зрения любопытства это всегда будут очень новые и интересные ощущения. Но явно не то, к чему надо стремиться.
Разработчики из Berkeley перевернули задачу для виртуального агента с ног на голову: главной мотивирующей силой сделали не любопытство, а наоборот — стремление всеми силами избегать любой новизны. Но "ничего не делать" оказалось сложнее, чем кажется. Будучи помещенным в постоянно меняющийся окружающий мир, ИИ пришлось обучиться сложному поведению, чтобы избегать новых ощущений.

🔗 ИИ, пытающийся избежать проблем, научился сложному поведению
В обучении с подкреплением (Reinforcement Learning) часто используется любопытство в качестве мотивации для ИИ. Заставляющее его искать новые ощущения и исследо...