Agenda behind architecture of TF

TensorFlow General Discussion
1

Hi there,
I am very new here.

I have two questions:

  1. As a PhD research student, I want to know the agenda of developers when they need a TensorFlow architecture. For example, from what perspectives does TensorFlow architecture help developers and contributors? Why do they need architecture? Some general NFRs are modifiability, scaleability, and security.

  2. I want a complete architecture (even on a very abstract level) in visualization form. I want to understand it.

Thanks a Million:slight_smile:

Abdul

2

Hi there,
I am very new here.

I have a two questions:

  1. I am PhD research student, I want to know the agenda of developers when they need a TensorFlow architecture. For example, in what perspectives TensorFlow architecture help developers/contributors. Why they need an Architecture? Some general NFRs are Modifiability, scaleability and security.

  2. I want a complete architecture (even on very abstract level), in visualisation form. I want to understand it.

Thanks a Millions :slight_smile:

Abdul

3

Hi @Abdul_Qayum ,

Hello and welcome! It’s great to see your interest in understanding TensorFlow architecture. TensorFlow is a powerful framework for machine learning and deep learning, and it provides a flexible and extensible architecture that serves a variety of purposes. Here’s an overview of why TensorFlow architecture is essential for developers and contributors:

  1. Modifiability and Flexibility
  2. Scalability
  3. Portability
  4. Security
  5. Extensibility
  6. Community Collaboration

For more detailed architecture you can refer to TensorFlow Documentation.

Thanks

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