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Commits on Jan 11, 2017
  1. fixed documentation conflict

    committed Jan 11, 2017
Commits on Jan 10, 2017
  1. updated documentation

    committed Jan 10, 2017
  2. updated documentation

    committed Jan 10, 2017
  3. updated model to support numeric values (e.g. soft values) πŸ‘

    fixed bug that could break something for python3
    committed Jan 10, 2017
Commits on Jan 8, 2017
  1. updated README

    committed Jan 8, 2017
  2. updated mnist rnn docs

    committed Jan 8, 2017
  3. Fixed attention components and added example using them. Altered mode…

    …l to support conditional GANs (discriminator inputs != generator outputs)
    committed Jan 8, 2017
Commits on Jan 7, 2017
  1. Version 0.0.5

    In this update:
     - Some bug fixes / changes to how models are built
     - More documentation
     - Added VGG16 example (although it hasn't been run properly)
    committed Jan 7, 2017
  2. Version 0.0.4

    committed Jan 7, 2017
  3. Merge pull request #1 from codekansas/development

    Version 0.0.4 Updates
    committed on GitHub Jan 7, 2017
  4. Squashed commit of the following:

    commit a20cb96
    Author: Benjamin Bolte <bkbolte18@gmail.com>
    Date:   Fri Jan 6 20:18:14 2017 -0500
    
        updated model to include regularization losses; updated mnist example a bit πŸ‘
    
    commit b082acc
    Author: Benjamin Bolte <bkbolte18@gmail.com>
    Date:   Fri Jan 6 19:52:57 2017 -0500
    
        fixed adaptivelearningrate callback ❔
    committed Jan 7, 2017
Commits on Jan 3, 2017
  1. bug fixes πŸ˜‘

    committed Jan 3, 2017
  2. Updated README πŸ‘½

    committed Jan 3, 2017
  3. minor changes to docs

    committed Jan 3, 2017
  4. bug fix πŸ˜ƒ

    committed Jan 3, 2017