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Commits on Mar 4, 2017

• Fix bug: tf.add_n([loss] + reg_losses) rather than loss + reg_losses

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• Sadly had to remove binder support, because it is too unreliable and has been down for a month.

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• Updated Anaconda instructions: conda install -c conda-forge tensorflow=1.0.0

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Commits on Feb 17, 2017

• Ensure python 2 support for chapters 13 and 14

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• Make gym optional

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• Versicolor instead of Versicolour

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• Removing Dockerfile because it seems to fail with Binder

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• Upgrade notebooks to TensorFlow 1.0.0

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Commits on Feb 13, 2017

• Fix requirements.txt to simplify TensorFlow installation, and try to fix binder

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Commits on Feb 2, 2017

• Replace reduce_sum by reduce_mean for MSE (rather than SSE) error.

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Commits on Nov 25, 2016

• Change xvfb comment

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• Specify exact versions and add instructions

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• Remove pip cache

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Commits on Nov 24, 2016

• Update Dockerfile to TensorFlow 0.11.0

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• Merge branch 'master' of github.com:ageron/ml-notebooks

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• Add word embeddings and NLP stub

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• Migrate to TF 0.11.0

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• Migrate to TF 0.11.0

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Commits on Nov 23, 2016

• Migrate to TensorFlow 0.11.0

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Commits on Nov 5, 2016

• Move to sklearn 0.18

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• Remove warnings and fix path in ch16

  ageron

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• Move to sklearn 0.18

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• Move to sklearn 0.18

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• Move to sklearn 0.18

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Commits on Nov 3, 2016

• Upgrade chapter 2 to sklearn 0.18 and ensure python 2 and python 3 both work

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• Fix hash() bug reported by Thiago

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Commits on Oct 23, 2016

• Add Policy Gradients and DQN to RL notebook

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Commits on Oct 12, 2016

• Add gym[box2d] to Dockerfile

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Commits on Oct 9, 2016

• Catch all exceptions when loading gl_info

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• Rolling back to previous Dockerfile, cannot get xvfb to work with binder

  ageron

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• Improve Dockerfile for ageron/handson-ml

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• Fix CartPole rendering issue in chapter 16

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• Use system pip and pip3, not Anaconda

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Commits on Oct 8, 2016

• Run python 3 outside of a virtualenv for OpenAI gym image rendering to work

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• Add reinforcement learning notebook (in progress)

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