Özgür Özkök
Cucumber is a tool that supports behavior-driven development (BDD). BDD is a software development process that combines the best practices of test-driven development (TDD) and acceptance testing.
The Rise of Cloud Kitchens The restaurant industry is undergoing a significant transformation. In recent years, we have seen the rise of cloud kitchens, which are delivery-only restaurants that do not have a physical dining room. Cloud kitchens are becoming increasingly popular as they offer several advantages over traditional restaurants. […]
FitNesse is a web-based acceptance testing framework for software. It allows users to define and execute acceptance tests for web applications using a simple, wiki-based syntax. FitNesse is implemented in Java and can test applications written in any language. One advantage of FitNesse is that it is easy to use […]
Lean Agile is a development methodology combining Lean Manufacturing and Agile Development principles. Lean Agile eliminates waste and improves software development efficiency by delivering value to the customer and continuously refining processes. The origins of Lean-Agile stem from the principles of Lean Manufacturing, which was designed to improve profits by […]
What is Fake Agile? What are Anti-patterns? And Why Are They Hurting Your Organization? This article discusses the concept of fake Agile and anti-patterns that can hinder an organization’s ability to implement agility. While Agile is a philosophy at its core, many companies miss this fundamental difference when transitioning into […]
Automate your infrastructure provisioning and management. Infrastructure as Code (IaC) is a practice of managing and provisioning infrastructure through code. This means that the infrastructure, such as servers, networks, and storage, is defined in regulation and then used to create and manage the infrastructure. Overview of IaC: IaC can help […]
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