d7945764
Add activations.mish. by
2023-02-25 12:11:34 -0600
c72f4799
Add metric of HammingLoss. by
2023-02-25 11:26:24 -0600
32a3e48d
All threshold as null in F1 Score. by
2023-02-24 18:42:55 -0600
9726fc6f
Fix name of f1_score. by
2023-02-24 18:28:22 -0600
922139ff
Set mean of all classes in F1 Score. by
2023-02-24 18:24:19 -0600
067c1ff9
Add metrics of F1Score and FBetaScore. by
2023-02-24 17:35:48 -0600
77eb6f5e
Add metrics of Accuracy and CosineSimilarity. by
2023-02-22 11:14:55 -0600
9e877d1c
Add metrics of BinaryAccuracy, CategoricalAccuracy, CategoricalCrossentropy. by
2023-02-22 10:44:14 -0600
98919983
Add metrics of Precision. by
2023-02-21 21:55:59 -0600
217cfd2d
Add mertic of Recall. by
2023-02-20 19:48:06 -0600
a5289b9b
Abstract IMetricFunc. by
2023-02-19 15:43:47 -0600
ca9f574f
Add metric of top_k_categorical_accuracy. by
2023-02-19 13:32:21 -0600
b8645d3f
Add keras.layers.CategoryEncoding. by
2023-02-18 14:54:33 -0600
2ee08e8c
Fix the keras.sparse_categorical_crossentropy. (#985) by
2023-02-18 13:15:37 +0800
b72c135a
(refs/pull/987/head)
Fix the keras.sparse_categorical_crossentropy. (#985) by
2023-02-18 13:15:37 +0800
58212751
Reimplemented NDArray == and != operators, handling null values. Added unit tests. by
2023-02-10 16:21:26 +0100
ccda2c39
Add BinaryCrossentropy loss function. by
2023-02-16 07:53:21 -0600
36e73d3a
(refs/pull/982/head)
Reimplemented NDArray == and != operators, handling null values. Added unit tests. by
2023-02-10 16:21:26 +0100
8a21ad28
Fix math_ops.max and min. by
2023-02-09 20:43:23 -0600
a44028ed
Fix ConvTraspose2D gradient and register rsqrt gradient. by
2023-02-08 13:09:49 +0800
a7c9a759
Use a local Status variable by
2023-02-06 12:42:56 +0100
d8f37e89
(refs/pull/980/head)
Fix ConvTraspose2D gradient and register rsqrt gradient. by
2023-02-08 13:09:49 +0800
67a2fcd6
(refs/pull/978/head)
Use a local Status variable by
2023-02-06 12:42:56 +0100
0ee50d31
Add double to NDArrayConverter. by
2023-02-05 20:38:52 -0600
271dcefc
fix keras model predict return result. by
2023-02-05 12:46:31 -0600
ec340eef
np.ones_like and np.zeros_like by
2023-02-04 12:06:21 -0600
197224fd
Add pb model save (#976) by
2023-02-04 11:58:06 -0600
3a6a59e1
(refs/pull/976/head)
Check and refine the code. by
2023-02-05 01:08:37 +0800
43625abe
Removed use of tf.Status static instance by
2023-02-01 16:52:49 +0100
88fe402b
Add alexnet pb save test. by
2023-02-04 21:04:00 +0800
ad541a79
Implement serializing attributes other keras arg definitions. by
2023-02-04 21:03:40 +0800
6c077782
Add two simple sequential test case of pb model save. by
2023-02-03 20:37:25 +0800
59c17705
Refine some code after merge. by
2023-02-03 19:48:49 +0800
c9c339d3
Merge branch 'master' into add_pb_model_save by
2023-02-03 19:44:07 +0800
2ab0bdbc
Add more implementations to the keras part of pb model save. by
2023-02-03 19:08:50 +0800
a479e53f
Add more implementations to the pb model save. by
2023-02-02 19:17:15 +0800
f2e41a17
Support autograph.to_graph under graph mode. by
2023-02-02 17:34:50 +0800
d62520f9
(refs/pull/975/head)
Removed use of tf.Status static instance by
2023-02-01 16:52:49 +0100
c5cdf2c5
Fixed model.fit return results. #927 by
2023-01-30 20:08:40 -0600
83906b8f
Add lacked implementations (mainly MultiDeviceSaver). by
2023-01-30 13:42:51 +0800
f48ba402
Fix MaxPooling1D #969 by
2023-01-29 10:40:07 -0600
4f88109a
fix _self_tracked_trackables. by
2023-01-28 18:45:39 -0600
b92b08d6
Implement layer serializations. by
2023-01-25 10:14:15 +0800
bdca3b5e
Add serialized attributes. by
2023-01-24 22:03:53 +0800
ddd06ab9
Add ListWrapper and ITrackable, and revise implmentations. by
2023-01-24 18:01:22 +0800
c4114d5f
Add more facilities to the saved model framework. by
2023-01-23 16:25:38 +0800
56a64dae
np.sort by
2023-01-21 12:52:32 -0600
bb8168b5
Init the serialization of keras pb model. by
2023-01-21 11:07:07 +0800
bd26bbdb
Orthogonal initializer. by
2023-01-16 20:39:35 -0600
321ddfc1
Fix Model.build. by
2023-01-15 21:18:05 -0600
726b7421
Add check for dims of x and y in model.fit. by
2023-01-14 15:45:02 +0800
0f7bf4d6
Fix TransferLearning.Test null bug. by
2023-01-01 17:06:07 -0600
a432807c
Remove _layers in Layer. by
2022-12-30 12:43:36 -0600
2584b684
Fix conv_net.load_weights #956 by
2022-12-30 09:18:55 -0600
290c162e
Bump Newtonsoft.Json from 13.0.1 to 13.0.2 in /src/TensorFlowNET.Keras by
2022-12-08 14:54:42 +0000
522b9432
(refs/pull/963/head)
Bump Newtonsoft.Json from 13.0.1 to 13.0.2 in /src/TensorFlowNET.Keras by
2022-12-08 14:54:42 +0000
49876bb9
Change model.build parameter to input_shape. by
2022-12-04 23:04:57 -0600
2adfcd2c
Fix Sequential model.summary missing layers. #960 by
2022-12-03 12:44:00 -0600
196401b2
Merge branch 'master' of https://github.com/SciSharp/TensorFlow.NET by
2022-11-26 16:01:41 -0600
0a08386c
Fix batch_size for Keras Input. by
2022-11-26 16:01:14 -0600
10f66f0b
Fix IO Exception from keras.fit. by
2022-11-26 04:55:03 +0800
569ba202
(refs/pull/959/head)
Fix IO Exception from keras.fit. by
2022-11-26 04:55:03 +0800
def06649
Fix NeuralNetXor example. by
2022-11-24 18:31:49 -0600
9b11d459
Fix NeuralNetXorKeras accuracy. #952 by
2022-11-19 10:04:02 -0600
33707231
Define Keras interface in core project (WIP). by
2022-11-13 16:23:23 -0600
19363cdf
(tag: v0.70.2-NET6, v0.70.2-NET6)
Fix ReadValueMatrix ReadBytes issue in .NET 6.0. #880 by
2022-11-09 18:41:08 -0600
a7b0a7e2
Add book link of TensorFlow.NET by
2022-10-29 16:20:32 -0500
3fde7558
Ignore precision issue by
2022-06-28 21:49:35 +0800
4565068d
fixed test bug ;( by
2022-05-05 12:46:25 +0800
424ac061
fixed bugs by
2022-05-05 12:33:00 +0800
2e94ed38
multi-head attention by
2022-05-03 13:25:19 +0800
9a57947e
Add EinsumDense support and simply test it by
2022-04-29 17:51:37 +0800
430ac931
Add Attention support and test it by
2022-04-17 16:04:08 +0800
b474fab8
(refs/pull/943/head)
Ignore precision issue by
2022-06-28 21:49:35 +0800
9412729c
(refs/pull/940/head)
Fix Conv2dTranspose bias by
2022-06-19 01:16:50 -0700
85e42bfa
fixed test bug ;( by
2022-05-05 12:46:25 +0800
c59be9a2
Merge branch 'multihead' by
2022-05-05 12:36:29 +0800
4fc214ac
fixed bugs by
2022-05-05 12:33:00 +0800
79285b6f
Merge branch 'SciSharp:master' into multihead by
2022-05-04 15:37:53 +0800
204b4c3a
multi-head attention by
2022-05-03 13:25:19 +0800
7bd93e0b
Merge branch 'SciSharp:master' into master by
2022-05-02 11:04:35 +0800
ce3ddb23
Initial regularizers. by
2021-12-21 18:20:05 +0200
b5b4c517
Update README.md by
2022-04-22 14:33:30 +0800
df60e833
Add EinsumDense support and simply test it by
2022-04-29 17:51:37 +0800
f1565c96
(refs/pull/933/head)
Update README.md by
2022-04-22 14:33:30 +0800
875e41d3
Add Attention support and test it by
2022-04-17 16:04:08 +0800
56b4b189
Remove unused dependency by
2022-03-17 10:58:46 +0000
fca842ff
(refs/pull/921/head)
Remove unused dependency by
2022-03-17 10:58:46 +0000
668af612
Add np.add and np.random.uniform by
2022-03-16 00:18:04 +0300
10fda1f2
Fix reduce_sum test case by
2022-03-14 10:23:32 +0300
cd539d49
(refs/pull/919/head)
Add np.add and np.random.uniform by
2022-03-16 00:18:04 +0300
2cfcdacb
(refs/pull/918/head)
Fix reduce_sum test case by
2022-03-14 10:23:32 +0300
427a2f9f
tf.reduce_sum #917 by
2022-03-12 14:28:51 -0600
8249d8a0
Add test case for tf.reduce_sum(..., axis = ...) by
2022-03-09 23:31:12 +0300
8bcdc780
(refs/pull/917/head)
Add test case for tf.reduce_sum(..., axis = ...) by
2022-03-09 23:31:12 +0300
5a8b1cb5
release v0.70.1. by
2022-01-16 14:41:13 -0600
db625c78
remove default graph validation by
2022-01-16 13:11:06 -0600
e27145e4
refactor TensorArray #903 by
2022-01-15 10:02:00 -0600
271b0664
change default value for Conv1D. by
2022-01-08 18:20:28 -0600
974855c8
fix BasicConv1D unit test by
2022-01-08 18:16:58 -0600