Vue was developed by Evan You, and first released in 2014. It is widely used by the companies based in China. The main advantage of this framework is its step-by-step implementation. VueJS has a comprehensive architecture which is easy to apply in practice. Additionally, applications developed with Vue are easy to combine with more complex solutions when programmers create new projects.
The main pros of Vue:
The ambition to switch between the development of applications based on the MVC architecture, and applications based on the state containers can be confusing for those who are looking for full-scale solutions. Another issue is that the core framework development depends on its creator despite the large community formed around.
Cons of Vue:
Although VueJS is widely used in different projects, it is difficult to predict what will happen to the framework in the future. It is not directly supported by big enterprises, therefore its development largely depends on the capabilities and enthusiasm of web developers. The good thing is that there is no sign that the architecture of Vue.js will not be able to adapt to any new innovations.
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Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community — What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question.
The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others.
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Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.
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