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TensorFlow.NET
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Commits on Jul 28, 2019
dynamic_rnn implementation (#323)
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Commits on Jul 25, 2019
change bottleneck file to raw image as input for transfer learning.
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Predict image category in bootleneck file.
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Init TensorFlow.Text project. put all UnitTest and Example into one project.
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add Prediction function for Transfer Learning
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Commits on Jul 24, 2019
Remove tf binary from core project. entry project will install binary seperate because enrty could choose platform and gpu version.
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fix object reference issue for _AggregatedGrads #303
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Commits on Jul 23, 2019
removing unused namespaces (#301)
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Commits on Jul 22, 2019
add dynamic_rnn, _transpose_batch_time for RNN.
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Commits on Jul 21, 2019
add tf.nn.elu activation function. #294
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Commits on Jul 18, 2019
upgrade NumSharp to v0.10.4.
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Add BasicRNNCell, LayerRNNCell, RNNCell,
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Commits on Jul 15, 2019
cnn docs updated.
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Commits on Jul 14, 2019
remove tensorflow binary from Benchmark project.
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fix variable path for transfer learning and word2vec.
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Commits on Jul 13, 2019
run example easier #290
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fixed transfer learning example and prevent double deallocation of unmanaged memory
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Build RNN graph, BasicRNNCell not implemented.
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Released the SciSharp.TensorFlow.Redist. It's a migration from Microsoft.ML.TensorFlow.Redist. ML.NET team will not maintain the package since ML.NET v1.3.0.
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Commits on Jul 12, 2019
corrected names for the example folders
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Finished MNIST CNN example.
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move import graph to ImportGraph.
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fix dictionary access when modified.
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Commits on Jul 11, 2019
fix return value issue for weight_variable and bias_variable.
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Commits on Jul 10, 2019
MNIST CNN not finished yet.
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Commits on Jul 9, 2019
released v0.9.0.
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MNIST CNN
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apply the Apache License boilerplate notice at the top of every single file.
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Commits on Jul 8, 2019
refactor MNIST dataset.
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add Char CNN example.
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Commits on Jul 7, 2019
move word cnn to seperate class.
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update docs. change example interface.
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Commits on Jul 6, 2019
Add default name for AdamOptimizer.
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fix default graph issue for DigitRecognitionNN.
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Whooray, finally make AdamOptimizer work as expected.
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