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Bump required R version to 3.4
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.github/workflows/R-CMD-check.yaml

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- {os: 'ubuntu-20.04', tf: 'default', r: '3.6'} # default R in ubuntu-20.04
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- {os: 'ubuntu-20.04', tf: 'default', r: '3.5'} #
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- {os: 'ubuntu-20.04', tf: 'default', r: '3.4'} #
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- {os: 'ubuntu-20.04', tf: 'default', r: '3.3'} # Oldest R available in Rstudio Marketplace offerings
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# - {os: 'ubuntu-20.04', tf: 'default', r: '3.3'} # Oldest R available in Rstudio Marketplace offerings; rcmdcheck not available
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# - {os: 'ubuntu-20.04', tf: 'tensorflow-cpu', r: '3.2'} # rcmdcheck not available
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# - {os: 'ubuntu-20.04', tf: 'tensorflow-cpu', r: '3.1'} # remotes not available
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DESCRIPTION

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URL: https://keras.rstudio.com
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BugReports: https://github.com/rstudio/keras/issues
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Depends:
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R (>= 3.2)
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R (>= 3.4)
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Imports:
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generics (>= 0.0.1),
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reticulate (>= 1.10),

NEWS.md

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- Fixed an issue in `layer_input()` where passing a tensorflow `DType` objects to argument `dtype` would throw an error.
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- Fixed an issue in `compile()` where passing an R function via an in-line
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- Fixed an issue in `compile()` where passing an R function via an in-line
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call would result in an error from subsequent `fit()` calls.
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(e.g., `compile(loss = function(y_true, y_pred) my_loss(y_true, y_pred))`
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(e.g., `compile(loss = function(y_true, y_pred) my_loss(y_true, y_pred))`
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now succeeds)
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- `clone_model()` gains a `clone_function` argument that allows you to customize each layer as it is cloned.
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- `%py_class%` gains the ability to delay initializing the python session until first use.
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It is now safe to implement and export `%py_class%` objects in an R package.
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- Bumped minimum R version to 3.4. Expanded CI to test on all supported R version. Fixed regresison that prevent package installation on R <= 3.4
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# keras 2.6.0
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Breaking changes (Tensorflow 2.6):

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