Neural Networks | Нейронные сети
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​Making Friends with Machine Learning: Regression

🔗 Making Friends with Machine Learning: Regression
Make friends with the amazing power of machine learning! In this video, Cassie walks you through machine learning terminology and basic concepts by applying ...
​AAAI Conference Analytics

Citation distribution by the top AAAI 20 authors, year by year:

#artificalintelligence #deeplearning #machinelearning

🔗 Microsoft Power BI
​Data Management Systems

Access more info http://bit.ly/2RDEvUm

The global data management system (DBMS) market is expected to witness growth over the computer system. It is an extensive process for the development of data processing facilities. In this case, it is possible to solve the problem.

🔗 Data Management System Market | DBMS Industry Report, 2022
Data Management System (DBMS) market is anticipated to witness growth over the forecast period owing to widespread use of computer system
​После 18-го февраля начнется открытый и бесплатный курс "Deep Learning на пальцах".

https://habr.com/ru/company/ods/blog/438940/
Наш телеграмм канал - https://t.me/ai_machinelearning_big_data

Курс предназначен для того, чтобы разобраться с современным deep learning с нуля, и не требует знаний ни нейросетей, ни machine learning вообще. Лекции стримами на Youtube, задания на Питоне, обсуждения и помощь в лучших русскоязычных чат-сообществах — ODS.ai и ClosedCircles.

После него вы не станете экспертом, но поймете про что все это, сможете применять DL на практике и будете способны разбираться дальше сами. Ну, в лучшем случае.

Одновременно и в том же объеме курс будет читаться для магистрантов Новосибирского Государственного Университета, а также студентов CS центра Новосибирска.

Выглядеть объяснение на пальцах будет примерно так:

🔗 Открытый курс «Deep Learning на пальцах»
После 18-го февраля начнется открытый и бесплатный курс "Deep Learning на пальцах". Курс предназначен для того, чтобы разобраться с современным deep learning с...
Learning Machine Learning with .NET, PyTorch and the ONNX Runtime

🎥 Learning Machine Learning with .NET, PyTorch and the ONNX Runtime
👁 1 раз 1700 сек.
ONNX is a open format to represent deep learning models that is supported by various frameworks and tools. This format makes it easier to interoperate between frameworks and to maximize the reach of your hardware optimization investments

In this episode, Seth Juarez (@sethjuarez) sits with Rich to show us how we can use the ONNX runtime inside of our .NET applications. He gives us a quick introduction to training a model with PyTorch, and also explains some foundational concepts around prediction accuracy.
​Implementation of character based convolutional neural network

A #PyTorch implementation of Character Based ConvNets for text classification published by Yan LeCun in 2015 is open-sourced on. Many training features and hacks are implemented.

Link: https://github.com/ahmedbesbes/character-based-cnn

🔗 ahmedbesbes/character-based-cnn
Implementation of character based convolutional neural network - ahmedbesbes/character-based-cnn
​A Platonic Relationship with Deep Learning
Can you name the odd one out: recliner, beanbag, parking cone, bench? Odds are you are able to boot “parking cone” from the three others.

https://medium.com/@niharikajainn/a-platonic-relationship-with-deep-learning-5b47f05481d9?source=topic_page---------1------------------1

🔗 A Platonic Relationship with Deep Learning – Niharika Jain – Medium
Can you name the odd one out: recliner, beanbag, parking cone, bench? Odds are you are able to boot “parking cone” from the three others…
💻 Подборка видео о machine learning и data science

Наш телеграмм канал - https://t.me/ai_machinelearning_big_data

1. Рекуррентные нейронные сети (RNN) и длинная краткосрочная память (LSTM)
2. Как работают нейронные сети
3. Как работают сверточные нейронные сети
4. Что такое Data Science
5. Что такое Deep Learning
6. Becca 7 и обучение с подкреплением
7. Роботы, умные дома и IoT
8. Turning Machine Learning в Data Science
9. Data Science для всех
10. Как работает теорема Байеса

🎥 Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
👁 1206 раз 1574 сек.
A gentle walk through how they work and how they are useful.

Some other helpful resources:
RNN and LSTM slides: http://bit.ly/2sO00ZC
Luis Serrano...


🎥 How Deep Neural Networks Work
👁 432 раз 1478 сек.
A gentle introduction to the principles behind neural networks, including backpropagation. Rated G for general audiences.

Follow me for announcem...


🎥 How Convolutional Neural Networks work
👁 381 раз 1574 сек.
A gentle guided tour of Convolutional Neural Networks. Come lift the curtain and see how the magic is done. For slides and text, check out the acco...

🎥 How Data Science Works
👁 146 раз 2988 сек.
A walk through the practice of data science for all audiences. No math, no programming, just plain English. For related videos and copies of the sl...

🎥 Deep Learning Demystified
👁 159 раз 1339 сек.
An explanation for deep neural networks with no fancy math, no computer jargon. For slides, related posts and other videos, check out the blog post...

🎥 How reinforcement learning works in Becca 7
👁 69 раз 2164 сек.
Becca is an general purpose machine learning algorithm. It uses a type of reinforcement learning. For slides and related videos, check out the blog...

🎥 Robots, houses & the IoT - Microsoft 's Brandon Rohrer on making things intelligent
👁 95 раз 403 сек.
Microsoft's Senior Data Scientist Brandon Rohrer talks about how to make houses more like robots, and the challenges of realizing the promise of th...

🎥 The Other Stuff: Turning Machine Learning into Data Science
👁 61 раз 1386 сек.
I talk about several aspects of data science that get less attention than machine learning. I give 4 specific examples of data quality (cleaning), ...

🎥 Data Science For The Rest Of Us
👁 69 раз 2583 сек.
Do you wonder what data scientists do all day? Do you work with one? Are you thinking of becoming one? This talk is for you. Tune in for a math-fre...

🎥 How Bayes Theorem works
👁 157 раз 1509 сек.
A walk through a couple of Bayesian inference examples.

The blog: http://brohrer.github.io/how_bayesian_inference_works.html

The slides: https://...