TensorFlow Pros and Cons

TensorFlow Pros

Jafar Badour
Data Scientist at UpWork Freelancer
It is also totally Open-Source and free. Open-source applications are not good usually. but TensorFlow actually changed my view about it and I thought, "Look, Oh my God. This is an open-source application and it's as good as it could be." I learned that TensorFlow, by sharing their own knowledge and their own platform with other developers, it improved the lives of many people around the globe.
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Hamza Liaqat
AI Expert at Upwork Freelancer
TensorFlow is a framework that makes it really easy to use for deep learning.
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BEKKOUCHE Imad Eddine Ibrahim
Computer Vision Engineer at Innopolis University
Our clients were not aware they were using TensorFlow, so that aspect was transparent. I think we personally chose TensorFlow because it provided us with more of the end-to-end package that you can use for all the steps regarding billing and our models. So basically data processing, training the model, evaluating the model, updating the model, deploying the model and all of these steps without having to change to a new environment.
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TensorFlow Cons

Jafar Badour
Data Scientist at UpWork Freelancer
However, if I want to change just one thing in the implementation of TensorFlow functions I have to copy everything that they wrote and I change it manually if indeed it can be amended. This is really hard as it's written in C++ and has a lot of complications.
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Hamza Liaqat
AI Expert at Upwork Freelancer
JavaScript is a different thing and all the websites and web apps and all the mobile apps are built-in JavaScript. JavaScript is the core of that. However, TensorFlow is like a machine learning item. What can be improved with TensorFlow is how it can mix in how the JavaScript developers can use TensorFlow.
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BEKKOUCHE Imad Eddine Ibrahim
Computer Vision Engineer at Innopolis University
It doesn't allow for fast the proto-typing. So usually when we do proto-typing we will start with PyTorch and then once we have a good model that we trust, we convert it into TensorFlow. So definitely, TensorFlow is not very flexible.
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