This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high interest these days - there's a crucial need for rapid and optimized implementations of the algorithms and architectures. TensorFlow is designed to facilitate this goal. The strong advantage of TensorFlow is it flexibility in designing highly modular models which can also be a disadvantage for beginners since a lot of the pieces must be considered together when creating the model.

Features

  • The goal of this project is to help the community with structured tutorials
  • Simple and optimized code implementations
  • Provides better insight about how to use TensorFlow quick and effectively
  • The main goal of this project is to provide well-documented tutorials and less-complicated code
  • The virtual environment installation is recommended in order to prevent package conflict
  • The tutorials in this repository are partitioned into relevant categories

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Education Software, Python Libraries, Python Deep Learning Frameworks

Registered

2021-12-03