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Commits on Mar 27, 2019

• add K-means, in progress.

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Commits on Mar 25, 2019

• Add Nearest Neighbor

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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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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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Commits on Mar 21, 2019

• Shape error for gradients/Sum_grad/Tile #193

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• _ShapesFullySpecifiedAndEqual

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Commits on Mar 20, 2019

• fix reduce_sum when axis is not null

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• tf.log, tf.nn.softmax

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Commits on Mar 19, 2019

• Mnist dataset

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• Add node to connectivity between two layers.

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Commits on Mar 18, 2019

• add InputLayer

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• add Embedding layer

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Commits on Mar 15, 2019

• AdamOptimizer, reduce_prod

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Commits on Mar 14, 2019

• softmax_cross_entropy_with_logits

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• Pool interface, Dense layer

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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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• 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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Commits on Mar 12, 2019

• implementing normal.py.cs API log_prob() for NB classifier prediction

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Commits on Mar 10, 2019

• nn_ops.bias_add, tf.layers.batch_normalization

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• fix Operation.get_attr for all properties.

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Commits on Mar 7, 2019

• upgrade NumSharp to v0.7.4

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Commits on Mar 6, 2019

• implemented 1)tf.sqrt 2) tf.distributions.normal

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

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• implemented NB classifier fit API

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• tf.embedding_lookup

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

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• implemented nn class

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• add tf.keras

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