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Begüm Arslan Research
Tensorflow is an open source machine learning framework. The reason I chose this github repository is firstly I thought I can use it to learn machine learning, and it seems to be a good github repository. Tensorflow is known for its flexibility, scalability, easy-to-use APIs and community support. The Google Brain team within Google's Machine Intelligence Research organization created Tensorflow with the goal of exploring machine learning and deep neural networks research. It can be easily used with Python3.
The best part of Tensorflow repository is that it has a wide use of Issues. This is the first time I am learning about issues so I believe they are good reference. Also labels are used with issues such as stat:awaiting response, type:build/install/bug/support, comp: gpu/lite/ops... Although it does not have a wiki page, its ReadMe page were initiative and I did not have any problem with installing. The code example above is taken from there.
📌 Communication Plan
📌 Docker and local deployment tutorial
📌 RAM
📌 Test Traceability Matrix