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

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  1. Commits on Mar 25, 2019

    • test run on ubuntu

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    • Add Nearest Neighbor

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  2. Commits on Mar 23, 2019

    • Added Name and Priority to IExample interface.

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    • fix result of session.run

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  3. Commits on Mar 22, 2019

    • add predict for logistic regression.

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    • abstract PrepareData interface for example

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    • print Accuracy of LogisticRegression

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    • _ListFetchMapper for multiple fetch in Operation and Tensor.

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    • Incompatible shapes: [100,10] vs. [100] #194

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  4. Commits on Mar 21, 2019

    • Shape error for gradients/Sum_grad/Tile #193

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    • _ShapesFullySpecifiedAndEqual

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  5. Commits on Mar 20, 2019

    • add math_ops.reciprocal

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    • fix reduce_sum when axis is not null

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    • tf.log, tf.nn.softmax

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  6. Commits on Mar 19, 2019

    • Mnist dataset

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    • Add node to connectivity between two layers.

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  7. Commits on Mar 18, 2019

    • add InputLayer

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    • add Embedding layer

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  8. Commits on Mar 16, 2019

    • change CondContext to IControlFlowContext in Operation and Graph.

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  9. Commits on Mar 15, 2019

    • add strided_slice for Tensor, _SwitchRefOrTensor

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    • fix shape issue for array_ops.size_internal

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    • _TopKGrad, _SoftmaxCrossEntropyWithLogitsGrad

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    • change input and output parameter as Tensor[] for ops.get_gradient_function

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    • _ReluGrad, _BiasAddGrad

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    • AdamOptimizer, reduce_prod

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  10. Commits on Mar 14, 2019

    • softmax_cross_entropy_with_logits

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    • Dese layer

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    • Pool interface, Dense layer

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  11. Commits on Mar 13, 2019

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

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    • assign_sub, smart_cond

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    • Merge pull request #192 from PppBr/master

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    • implemented naive bayes predict API

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    • implemented math_ops: 1) reduce_logsumexp, 2) reduce_max, 3) log, 4) square

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    • implemented _log_prob in normal.py

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    • implemented math_ops.square

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