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Glowacki Group Hackathon 2018

26th-27th of April 2018

Before the workshop

The workshop will use python 3 and TensorFlow 1.6. You can find instructions on how to install TensorFlow here.

The powerpoint and pdf slides for the tutorial part of the Hackathon are in the Presentation folder.

Timetable

Thursday 26th of April, Tutorial (10 - 12 am):

  • Introduction to TensorFlow (presentation, ~20 min):

    1. What is the point of TensorFlow
    2. Comparison of Numpy and TensorFlow
    3. Bulding a data flow graph
    4. Running the graph
    5. Basic components of a program in TensorFlow

  • Playing with examples 1 (workshop, ~20 min):

    1. Summing numbers
    2. Linear regression
    3. Quadratic function

  • How to build a simple neural network (presentation, ~15 min)

    1. How does a neural network work. A good reference can be found here.

  • Playing with examples 2 (workshop, ~20 min):

    1. Cubic function

  • Tensorboard and Dataset API (presentation, ~15 min)

Thursday 26th of April, Projects (1-5 pm):

  1. Auto-encoder for picture compression: Introductions to the theory of autoencoders and how to build one can be found here and here.

  2. "Beginner" tensorflow tutorials can be found here.

  3. Advanced tensorflow tutorials can be found here. For those of you that are feeling adventurous...

Friday 27th of April:

Carry on with the Hackathon projects/tutorials.