Table of Contents

• Chapter 1 - Tensor Flow

Chapter 1 - Tensor Flow

• TensorFlow
  • Dfn: Separates the definition of computations from their execution even further by having them happen in separate places: a graph defines the operations, but the operations only happen within a session. Graphs and sessions are created independently. A graph is like a blueprint, and a session is like a construction site. Nesting lists is one way to represent a graph structure like a TensorFlow computation graph, i.e.

      $ foo.append(bar)
      $ foo
      [[...]]
    

• Links
  • Good Machine Learning Python example https://www.dataquest.io/blog/machine-learning-python/
  • http://www.bitfusion.io/2016/08/31/training-a-bird-classifier-with-tensorflow-and-tflearn/
  • Intro https://www.oreilly.com/learning/hello-tensorflow
  • Visualisations http://learningtensorflow.com/Visualisation/
  • Docker + Python + TensorFlow https://github.com/jupyter/docker-stacks/tree/master/tensorflow-notebook
    • http://stackoverflow.com/questions/33636925/how-do-i-start-tensorflow-docker-jupyter-notebook
  • Setup 101 http://www.datascienceassn.org/content/installation-quickstart-tensorflow-anaconda-jupyter
  • https://affinelayer.com/pixsrv/index.html
  • https://cloud.google.com/ml-engine/docs/how-tos/getting-started-training-prediction
• Data Sets (datasets)
  • https://archive.ics.uci.edu/ml/datasets.html
  • https://worldview.earthdata.nasa.gov/
  • https://earthexplorer.usgs.gov/