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Libra: Ergonomic machine learning

Libra: Ergonomic machine learning

The recent emergence of machine learning has given rise to hundreds of different frameworks, so why would you use Libra? Here’s why libra outperforms all these other alternatives. Libra prioritizes ease of use and ergonomics. We’ve combined technologies from the most popular platforms to create a complete experience Libra home page is https://libradocs.github.io/index.html

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Exploring the Full Spectrum of AWS Services

Exploring the Full Spectrum of AWS Services

I use Amazon as a cloud service in my new Java/Kotlin projects. I couldn’t easily find a complete list of AWS modules. I was able to create this shortlist as a result of the reviews. Compute   EC2 Virtual Private Servers Lightsail Amazon’s hosting provider (VPS, DNS, storage) Lambda Functions you can run tasks in […]

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TeamCity 2020.1.4 has been released.

TeamCity 2020.1.4 has been released.

Posted on September 10, 2020, by Maria Kudryavtseva The new TeamCity update is ready. In version 2020.1.4, we focused on fixing bugs and improving TeamCity’s performance and usability. See the complete list of 40+ resolved issues in our release notes. As with any bugfix update, 2020.1.4 shares the data format with other 2020.1.x releases, so you can upgrade/downgrade TeamCity […]

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Dolbear’s Law

dolbear's law

Dolbear’s law states the relationship between the air temperature and the rate at which crickets chirp. It was formulated by Amos Dolbear and published in 1897 in an article called “The Cricket as a Thermometer”.Dolbear’s observations on the relation between chirp rate and temperature were preceded by an 1881 report by Margarette W. Brooks, although this paper went unnoticed until after Dolbear’s publication. Dolbear […]

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SOFTMAX Fonksiyonu Nedir?

Python

Softmax fonksiyonu çoklu sınıflandırma problemleri için kullanılır. Verilen her bir girdinin bir sınıfa ait olma olasılığını gösteren [0,1] arası çıktılar üretmektedir. Python implemantasyonu aşağıdaki gibi olabilir. #softmax functiondef softmax(X): expo = np.exp(X) expo_sum = np.sum(np.exp(X)) return expo/expo_sum

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Docker best practices with Node.js

Docker best practices with Node.js

Welcome to our comprehensive list of Docker best practices exemplified under Node.js. Note that every bullet has a link to detailed information and code examples. The entire list can be found in our repository Node.js Best Practices. It covers the basics but goes all the way to strategic decisions like how much and where to limit […]

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