TensorFlow Tutorials

Ready-to-run Jupyter notebooks for machine learning using Tensorflow and Keras

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Version 1.2 - published on 09 Jan 2019

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Abstract

We provide a set of tutorials to get started with machine learning using TensorFlow and Keras. The set of tutorials were taken from TensorFlow (https://www.tensorflow.org/tutorials/) with copyright by François Chollet and deployed with minimal modifications. Using nanoHUB resources users can run the tutorials, modify them and explore machine learning from any laptop or tablet, without downloading or installing any software.

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TensorFlow (https://www.tensorflow.org) and Keras (https://keras.io).

Bio

The Jupyter notebook was developed and tested group members of the Strachan Group at Purdue. 

Cite this work

Researchers should cite this work as follows:

  • Juan Carlos Verduzco Gastelum, Alejandro Strachan, Saaketh Desai (2019), "TensorFlow Tutorials," https://nanohub.org/resources/tftutorials.

    BibTex | EndNote

Tags

  1. deep learning
  2. Jupyter notebooks
  3. Keras deep learning API
  4. machine learning
  5. materials science
  6. NCN Group - Machine Learning
  7. NCN Group - Materials Science
  8. neural networks
  9. tensorflow