The Ultimate List of TensorFlow Resources: Books, Tutorials, Libraries, Videos and More

The-ultimate-list-of-tensorflow-resources-books-tutorials-libraries-videos-more

 

TensorFlow is an open source software library for numerical computation utilizing data flow graphs. The graph nodes speak to mathematical operations, while the graph edges speak to the multidimensional data arrays (tensors) that flow between them. This adaptable architecture gives you a chance to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.

TensorFlow was initially created by researchers and engineers working on the Google Brain team inside Google’s Machine Intelligence Research organization for the reasons of conducting machine learning and deep neural networks research. The system is sufficiently general to be applicable in a wide assortment of other domains, as well.

Watch this below around 2 hours video TensorFlow and Deep Learning – without a PhD.

 

Below are some of the Ultimate Collection List of Tensor Flow resources gathered with a good portion of tutorials and online courses that can help you to Self-study TensorFlow framework on your own! Please feel free to suggest more materials in the comments!

BOOKS

VIDEOS

 

LIBRARIES

 

TUTORIALS

 

FEW PROJECTS

 

PAPERS

COMMUNITY

 

BEST ARTICLES ON TENSORFLOW

 

 

GITHUB


  • Magenta – Research project to advance the state of the art in machine intelligence for music and art generation.
  • YOLO TensorFlow – Implementation of ‘YOLO : Real-Time Object Detection’

OPEN-source neural network framework

Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source – Release of SyntaxNet, “an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding systems.

FURTHER READING

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