​Why Going from Implementing Q-learning to Deep Q-learning Can Be Difficult

🔗 Why Going from Implementing Q-learning to Deep Q-learning Can Be Difficult
3 Questions I was Afraid to Ask (and my Tensorflow 2.0 Template)

Learning by Cheating

https://www.youtube.com/watch?v=u9ZCxxD-UUw&feature=youtu.be

https://arxiv.org/abs/1912.12294

🎥 Learning by Cheating
👁 2 раз ⏳ 259 сек.
Learning by Cheating
Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl
Conference on Robot Learning (CoRL 2019)


Code: https://github.com/dianchen96/LearningByCheating

​These Natural Images Fool Neural Networks

🔗 These Natural Images Fool Neural Networks
❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers Their blog post on training a neural network is available here: https://www.wandb.com/articles/mnist 📝 The paper "Natural Adversarial Examples" and its dataset are available here: https://arxiv.org/abs/1907.07174 https://github.com/hendrycks/natural-adv-examples Andrej Karpathy's image classifier: https://cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html 🙏 We would like to thank our generous Patreon

​2019 Artificial Intelligence Breakthrough
https://www.google.com/amp/s/www.forbes.com/sites/tomtaulli/2019/12/07/this-years-ai-artificial-intelligence-breakthroughs/amp/

🔗 This Year’s AI (Artificial Intelligence) Breakthroughs
Yes, the innovation is continuing at a furious pace.

​This Insect Has The Only Mechanical Gears Ever Found in Nature

🔗 This Insect Has The Only Mechanical Gears Ever Found in Nature
The small hopping insect Issus coleoptratus uses toothed gears on its joints to precisely synchronize the kicks of its hind legs as it jumps forward

​Using Meta-Learning to Train Agents to Learn Generic Concepts

🔗 Using Meta-Learning to Train Agents to Learn Generic Concepts
During this holiday season, I am revisiting some of the most important AI papers of the last few months.

​Closet Data Scientists — Who Are They?

🔗 Closet Data Scientists — Who Are They?
The unassuming next generation of Data Scientists

​Is Deep Learning the Future of Medical Decision Making?

https://thegradient.pub/is-deep-learning-the-future-of-medical-decision-making/

🔗 Is Deep Learning the Future of Medical Decision Making?
Healthcare is often spoken of as a field that is on the verge of an AI revolution. Big names in AI such as Google DeepMind, publicise their efforts in healthcare, claiming that “AI is poised to transform medicine.” But how impactful has AI been so far? Have we really identified

​Why UMAP is Superior over tSNE

🔗 Why UMAP is Superior over tSNE
Does initialization really matter?

​ML for Optimization Problems | Qingchen Wang | Kaggle Days

🔗 ML for Optimization Problems | Qingchen Wang | Kaggle Days
Kaggle Days China edition was held on October 19-20 at Damei Center, Beijing. More than 400 data scientists and enthusiasts gathered to learn, make friends, and compete in a full-day offline competition. Kaggle Days is produced by LogicAI and Kaggle. About LogicAI: LogicAI is a boutique Data Science consultancy company owned by Kaggle fans and Grandmasters. As a global company, they do custom end-to-end AI and Data Science development projects as well as trainings for C-level management and tech teams.

​"Extreme Relative Pose Network under Hybrid Representations"

https://github.com/SimingYan/Hybrid_Relative_Pose

Article: https://arxiv.org/abs/1912.11695

🔗 SimingYan/Hybrid_Relative_Pose
Implementation of Paper "Extreme Relative Pose Network under Hybrid Representations" - SimingYan/Hybrid_Relative_Pose

​Machine Learning with Spark

Наш телеграм канал - tglink.me/ai_machinelearning_big_data

📝 Pentreath - Machine Learning with Spark.pdf - 💾4 909 606

​Tensorflow — A deep learning framework

🔗 Tensorflow — A deep learning framework
Learn and do hands-on Tensorflow and get prepped to solve big problems

🎥 Story of Alan Turing Prize Winner Yoshua Bengio
👁 1 раз ⏳ 1560 сек.
Yoshua Bengio OC FRSC is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He was a co-recipient of the 2018 ACM A.M. Turing Award for his work in deep learning



Please Share , Like and Subscribe the channel to support our work .

Find us on facebook
https://www.facebook.com/hemchandralive

Our YouTube URL
https://www.youtube.com/c/hemchandralive

​Macaw: A conversational bot that enables research for tasks such as document retrieval, question answering, recommendation, and structured data exploration

https://www.profillic.com/paper/arxiv:1912.08904

🔗 Macaw: An Extensible Conversational Information Seeking Platform: Model and Code - Profillic
Click To Get Model/Code. Conversational information seeking (CIS) has been recognized as a major emerging research area in information retrieval. Such research will require data and tools, to allow the implementation and study of conversational systems. This paper introduces Macaw, an open-source framework with a modular architecture for CIS research. Macaw supports multi-turn, multi-modal, and mixed-initiative interactions, and enables research for tasks such as document retrieval, question answering, recommendation, and structured data exploration. It has a modular design to encourage the study of new CIS algorithms, which can be evaluated in batch mode. It can also integrate with a user interface, which allows user studies and data collection in an interactive mode, where the back end can be fully algorithmic or a wizard of oz setup. Macaw is distributed under the MIT License.

​Теория вероятности. Математическая статистика.
Лекция 1. Основные понятия теории вероятности
Лекция 2. Случайные величины и их характеристики
Лекция 3. Статистические гипотезы. Динамика процессов
Лекция 4. Направления теории случайных процессов
Лекция 5. Марковские случайные процессы
Лекция 6. Теория массового обслуживания
Лекция 7. Прогнозирование случайных процесов
#video #math
Наш телеграм канал - tglink.me/ai_machinelearning_big_data

🔗 Открыть в Telegram



🎥 Untitled
👁 1 раз ⏳ 5289 сек.


🎥 Untitled
👁 1 раз ⏳ 5370 сек.


🎥 Untitled
👁 1 раз ⏳ 5399 сек.


🎥 Untitled
👁 1 раз ⏳ 5181 сек.


🎥 Untitled
👁 1 раз ⏳ 5260 сек.


🎥 Untitled
👁 1 раз ⏳ 5394 сек.


🎥 Untitled
👁 1 раз ⏳ 5325 сек.

​Robot development with Jupyter
Wolf Vollprecht : https://medium.com/@wolfv/robot-development-with-jupyter-ddae16d4e688

🔗 Robot development with Jupyter
This post shows available tools to build browser based, advanced visualizations in Jupyter Notebooks for ROS and standalone web apps using

🎥 Christof Koch: The Future of Consciousness - Schrödinger at 75: The Future of Biology
👁 1 раз ⏳ 2884 сек.
Koch joined the Allen Institute as Chief Scientific Officer in 2011 and became President in 2015. He received his baccalaureate from the Lycée Descartes in Rabat, Morocco, his MSc in physics from the University of Tübingen in Germany and his PhD from the Max-Planck-Institut für Biologische Kybernetik, Tübingen. Subsequently, he spent four years as a postdoctoral fellow in the Artificial Intelligence Laboratory and the Brain and Cognitive Sciences Department at the Massachusetts Institute of Technology. From