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Commits on Jun 24, 2022

• Merge pull request #35 from ageron/dependabot/pip/numpy-1.22.0

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Commits on Jun 21, 2022

• Bump numpy from 1.21.0 to 1.22.0

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Commits on May 26, 2022

• Merge pull request #34 from ageron/dependabot/pip/tensorflow-2.7.2

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• Bump tensorflow from 2.5.3 to 2.7.2

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Commits on Mar 11, 2022

• Merge pull request #32 from ageron/dependabot/pip/pillow-9.0.1

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• Bump pillow from 9.0.0 to 9.0.1

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Commits on Feb 13, 2022

• Merge pull request #31 from ageron/dependabot/pip/tensorflow-2.5.3

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Commits on Feb 10, 2022

• Bump tensorflow from 2.5.2 to 2.5.3

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Commits on Jan 13, 2022

• Merge pull request #30 from ageron/dependabot/pip/numpy-1.21.0

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• Bump numpy from 1.19.5 to 1.21.0

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• Merge pull request #29 from ageron/dependabot/pip/pillow-9.0.0

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• Bump pillow from 8.3.2 to 9.0.0

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Commits on Nov 10, 2021

• Merge pull request #28 from ageron/dependabot/pip/tensorflow-2.5.2

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• Bump tensorflow from 2.4.1 to 2.5.2

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Commits on Nov 8, 2021

• Merge pull request #27 from ageron/dependabot/pip/nbdime-2.1.1

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• Bump nbdime from 2.1.0 to 2.1.1

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Commits on Sep 14, 2021

• Merge pull request #26 from ageron/dependabot/pip/pillow-8.3.2

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Commits on Sep 8, 2021

• Bump pillow from 8.2.0 to 8.3.2

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Commits on Jun 8, 2021

• Merge pull request #24 from ageron/dependabot/pip/pillow-8.2.0

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• Bump pillow from 8.1.2 to 8.2.0

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Commits on Mar 27, 2021

• Add a link to easily run on Colab

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• Download images and time series dataset using keras.utils.get_file() so the notebooks can work in Colab

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• Change env name from tf2 to tf2c

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• Add graphviz and python-graphviz

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• Update libs

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• Update to latest libs, update README.md, add INSTALL.md and environment.yml

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Commits on Jul 23, 2020

• Update requirements.txt and notebooks

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Commits on Jul 22, 2020

• Update requirements.txt

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Commits on Oct 23, 2019

• Merge pull request #13 from ageron/dependabot/pip/pillow-6.2.0

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• Bump pillow from 5.4.1 to 6.2.0

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Commits on Jun 23, 2019

• Merge branch 'master' of github.com:ageron/tf2_course

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• Default learning rate changed from 1e-2 to 1e-3

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• Default learning rate changed from 1e-2 to 1e-3

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Commits on Jun 19, 2019

• Updated to TF 2-beta

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Commits on Apr 19, 2019

• Wrap output Dense layer in a TimeDistributed

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