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GeezerVison is showing github.com — Commits · attackgithub/TensorFlow.NET

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  1. Commits on Jun 17, 2019

    • add array_ops.unique, math_ops.sqrt, Optimizer._apply_sparse_duplicate_indices

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  2. Commits on Jun 15, 2019

    • Merge branch 'master' of https://github.com/SciSharp/TensorFlow.NET

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    • fix checkpoint filename when global step is not set. #248

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    • upgrade Test library.

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  3. Commits on Jun 14, 2019

    • add _MinOrMaxGrad and _MaximumMinimumGrad

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    • fix rank_internal works for both kNN and CNN examples.

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    • fix tfhub cache issue for RetrainImage example. #248

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    • fix rank_internal, add gradients_util

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  4. Commits on Jun 13, 2019

    • add Gradient for GatherV2, MaxPool, op.

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  5. Commits on Jun 9, 2019

    • Gradient function for Conv2D

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    • fix name_scope issue when current_scope is exit.

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  6. Commits on Jun 8, 2019

    • add Conv2dParams

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  7. Commits on Jun 7, 2019

    • Merge pull request #261 from arnavdas88/master

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    • Ongoing WeakKeyDictionary

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    • ongoing tf.keras.backend.cs

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    • extend gradient function capability.

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    • Merge pull request #260 from serjl/dev

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  8. Commits on Jun 6, 2019

    • Updated note on GPU installation on windows

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    • Updated Tensorflow GPU c library for windows link

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    • fix -1 index for _ConcatGradHelper

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  9. Commits on Jun 5, 2019

    • fix data path for CNN Text.

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    • Merge pull request #259 from arnavdas88/master

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    • added make_variable overload

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    • added sparse_softmax_cross_entropy_with_logits

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    • added tf.nn.dropout

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    • added tf.concat interface.

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    • fix max_pooling2d name_scope.

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  10. Commits on Jun 4, 2019

    • remove global static Graph instance.

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  11. Commits on Jun 2, 2019

    • fix tf.layers.conv2d

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  12. Commits on May 31, 2019

    • add tf.where api.

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    • add train and predict interfaces to IExample.

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  13. Commits on May 30, 2019

    • Merge pull request #254 from AndreiDegtiarev/master

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    • F# example project structure adjusted

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    • F# example created

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    • Inconsistency in handling of DT_FLOAT and DT_DOUBLE types by gradient calculation

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