🎥 Создание чат-бота с искусственным интеллектом на Python
👁 3 раз ⏳ 6301 сек.
Распродажа программ с гарантией трудоустройства. Получи доступ к самым мощным программам с огромной скидкой ----https://live.skillbox.ru/code/online/250619/special/

​The best laid plans

🔗 The best laid plans
Visualising Yemen’s Invisible War

​How to Develop a 1D Generative Adversarial Network From Scratch in Keras

Generative Adversarial Networks, or GANs for short, are a deep learning architecture for training powerful generator models. A generator model is capable of generating new artificial samples that plausibly could have come from an existing distribution of samples. GANs are comprised of both generator and discriminator models.

https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-a-1-dimensional-function-from-scratch-in-keras/

🔗 How to Develop a 1D Generative Adversarial Network From Scratch in Keras
Generative Adversarial Networks, or GANs for short, are a deep learning architecture for training powerful generator models. A generator model is capable of generating new artificial samples that plausibly could have come from an existing distribution of samples. GANs are comprised of both generator and discriminator models. The generator is responsible for generating new samples …

​Machine Learning Engineer Nanodegree-
Official link to Udacity's Machine Learning Engineer Nanodegree

https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t

🔗 Become a Machine Learning Engineer | Udacity
Build a solid foundation in Supervised, Unsupervised, Reinforcement, and Deep Learning. Then, use these skills to test and deploy machine learning models in a production environment.

​Basic Data Wrangling & Visualization with an ETF

🔗 Basic Data Wrangling & Visualization with an ETF
Overview

​New AI programming language goes beyond deep learning

http://news.mit.edu/2019/ai-programming-gen-0626

🔗 New AI programming language goes beyond deep learning
General-purpose language works for computer vision, robotics, statistics, and more.

​Speech Recognition using Artificial Neural Network (ANN)

🔗 Speech Recognition using Artificial Neural Network (ANN)
Speech Recognition Speech is the way of communication between people. The speech recognition is a software invention which converts our spoken language into a machine-readable format. Nowadays speech recognition is useful for interaction between human and machines or mobile devices. So, it is ve

​List of Top blogs/Newsletter on Artificial Intelligence

Here are 15 machine learning, artificial intelligence, and deep learning blogs you should add to your reading lists

1. Machine Learning Mastery by Jason Brownlee
https://machinelearningmastery.com/about/

2. AI Trends
https://www.aitrends.com/

3. Algorithmia
https://blog.algorithmia.com/

4. AITopics (An official publication of the AAAI.)
https://aitopics.org/search

5. Open AI
https://openai.com/

6. MIT AI Blog
http://news.mit.edu/topic/artificial-intelligence2

7. DataRobot Blog
https://blog.datarobot.com/

8. Andreessen Horowitz
http://aiplaybook.a16z.com/docs/intro/getting-started

9. Chatbots Magazine (The #1 place to learn about chatbots.)
https://chatbotsmagazine.com/

10. Machine Intelligence Research Institute (MIRI)
https://intelligence.org/blog/

11. Chatbots Life
(Best Place to Learn About Bots)
https://chatbotslife.com/

12. 33 rd square
https://www.33rdsquare.com/

13. Artificial Intelligence Blogs
https://www.artificial-intelligence.blog/news/

14. Machine Learnings
https://machinelearnings.co/

15. C T Vision
https://ctovision.com//

🔗 Algorithmia Blog
Deploying AI at Scale

🎥 Deep Learning Applications | Deep Learning Applications In Real Life | Deep learning | Simplilearn
👁 1 раз ⏳ 775 сек.
This video on Deep Learning Applications covers the exciting areas and sectors of business that uses Deep Learning widely every day. We will see how Deep Learning is used in healthcare to improve people's life. We will understand how Amazon, Netflix use Deep Learning to provide better customer experience. We will learn to generate music, audio, and color images using Deep Learning. This video will also give us an idea of how Deep Learning is used in advertising and in predicting earthquakes. Now, let us jum

​Log Book — Practical guide to Linear & Polynomial Regression in R

🔗 Log Book — Practical guide to Linear & Polynomial Regression in R
This is a practical guide to linear and polynomial regression in R. I have tried to cover the basics of theory and practical…

​AI generating football video game commentary

🔗 AI generating football video game commentary
My approach to generating dynamic commentary in real time for Google’s football environment using GPT-2 language model.

🎥 Machine Learning Career Transition
👁 1 раз ⏳ 3323 сек.
Making a transition into Machine Learning is a journey paved with obstacles and learning. There is so much to learn and implement! This can get especially challenging if you’re coming from a non-technical background. But isn’t that the great thing about learning? We get to experiment with concepts, apply them in a safe academic environment, and add to our knowledge through practical applications. The experience becomes even richer when you’ve worked in the corporate field for a number of years. The best way

​Generalization Bounds: rely on your Deep Learning models

🔗 Generalization Bounds: rely on your Deep Learning models
How will your Deep Learning system perform on new data (generalize)? How bad can its performance get? Estimating the ability of an…

🎥 GOTO 2019 • Using Kubernetes for Machine Learning Frameworks • Arun Gupta
👁 1 раз ⏳ 3193 сек.
This presentation was recorded at GOTO Chicago 2019. #gotocon #gotochgo
http://gotochgo.com

Arun Gupta - Principal Open Source Technologist at AWS and CNCF Board Member

ABSTRACT
Kubernetes provides isolation, auto-scaling, load balancing, flexibility and GPU support. These features are critical to run computationally and data intensive and hard to parallelize machine learning models. Declarative syntax of Kubernetes deployment descriptors make it easy for non-operationally focused engineers to easily trai

​Everything you need to know about TensorFlow 2.0
Keras-APIs, SavedModels, TensorBoard, Keras-Tuner and more.

https://hackernoon.com/everything-you-need-to-know-about-tensorflow-2-0-b0856960c074?fbclid=IwAR39o9MYCp2BkXG-p690ebdf3wJJeHe9y0Z11yXgGhfOeiuBlPrCjxhgs9Q

🔗 Everything you need to know about TensorFlow 2.0
Keras-APIs, SavedModels, TensorBoard, Keras-Tuner and more.

​Фейковый Слак, который позволяет тестировать ваших ботов без внешних зависимостей

🔗 Знакомство с mad-fake-slack (альфа версия)
mad-fake-slack — это прежде всего инструмент для тестирования вашего бота, без использования реальных серверов slack. В будущем это будет…

​DeepFaceLab is a tool that utilizes machine learning to replace faces in videos.

https://github.com/iperov/DeepFaceLab

🔗 iperov/DeepFaceLab
DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md). - iperov/DeepFaceLab

​Using AI to generate recipes from food images

🔗 Using AI to generate recipes from food images
We are releasing the code for a new approach to generating recipes directly from food images. This produces more compelling recipes than retrieval-based approaches and improves performance with respect to previous baselines for ingredient prediction.

🎥 Митап 3: Искусственный интеллект, машинное обучение, нейронные сети / Smart IT ЛитКлуб
👁 1 раз ⏳ 2491 сек.
30 мая Андрей Коранчук провел лекцию об искуственный интеллект:
- Основные понятия.
- Нейрон, Персептрон, Нейросеть, TensorFlow
- Прогноз развития рынка.
- Перспективы работы.
- Применение.
- Что нужно знать из математики.
- С чего вообще начать.

Для тех, кто решит начать полный набор ссылок на лекции:
Линейная алгебра
https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/

Вычисления
https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr

Теория вероятности
https://