| /dports/math/onednn/oneDNN-2.5.1/tests/benchdnn/inputs/rnn/ |
| H A D | option_set_rnnt | 1 # RNN-T LSTM shapes
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| /dports/math/py-keras/Keras-2.4.3/examples/ |
| H A D | lstm_stateful.py | 44 from keras.layers import Dense, LSTM
146 model.add(LSTM(20,
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| H A D | README.md | 21 Demonstrates the use of a convolutional LSTM network.
58 Trains a Bidirectional LSTM on the IMDB sentiment classification task.
70 Trains an LSTM model on the IMDB sentiment classification task.
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| H A D | babi_memnn.py | 22 from keras.layers import LSTM
214 answer = LSTM(32)(answer) # (samples, 32)
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| /dports/math/py-pytorchvideo/pytorchvideo-0.1.3/pytorchvideo/models/ |
| H A D | __init__.py | 6 LSTM,
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| /dports/math/py-keras/Keras-2.4.3/keras/layers/ |
| H A D | recurrent.py | 8 from tensorflow.keras.layers import LSTM
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| /dports/devel/py-bullet3/bullet3-3.21/examples/pybullet/gym/pybullet_envs/minitaur/actuatornet/ |
| H A D | actuatornet_keras_lstm.py | 16 from keras.layers import LSTM
117 model.add(LSTM(40, input_shape=(train_X.shape[1], train_X.shape[2])))
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| /dports/misc/mnn/MNN-1.2.0/tools/converter/source/tflite/schema/ |
| H A D | schema.fbs | 93 LSTM = 16,
376 // Full LSTM kernel which supports peephole and projection.
378 // Basic LSTM kernels. Equivalent to TensorFlow BasicLSTMCell.
384 // Parameters for LSTM version 1 or above.
389 // Parameters for LSTM version 2 or above.
634 // this operator.(e.g. used by RNN and LSTM).
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| /dports/misc/frugally-deep/frugally-deep-0.15.13-p0/test/stateful_test/ |
| H A D | stateful_recurrent_tests.py | 12 from tensorflow.keras.layers import Input, Dense, GRU, LSTM, Bidirectional
28 REC_LAYER = LSTM
52 REC_LAYER = LSTM
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/tests/benchdnn/inputs/rnn/ |
| H A D | option_set_rnnt | 1 # RNN-T LSTM shapes
|
| /dports/graphics/waifu2x-ncnn-vulkan/waifu2x-ncnn-vulkan-20210521/src/ncnn/src/layer/x86/ |
| H A D | lstm_x86.h | 22 class LSTM_x86 : virtual public LSTM
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| /dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/src/layer/x86/ |
| H A D | lstm_x86.h | 22 class LSTM_x86 : virtual public LSTM
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| /dports/benchmarks/vkpeak/vkpeak-20210430/ncnn/src/layer/x86/ |
| H A D | lstm_x86.h | 22 class LSTM_x86 : virtual public LSTM
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| /dports/misc/ncnn/ncnn-20211208/src/layer/x86/ |
| H A D | lstm_x86.h | 22 class LSTM_x86 : virtual public LSTM
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| /dports/graphics/realsr-ncnn-vulkan/realsr-ncnn-vulkan-20210210/src/ncnn/src/layer/x86/ |
| H A D | lstm_x86.h | 22 class LSTM_x86 : virtual public LSTM
|
| /dports/misc/mnn/MNN-1.2.0/pymnn/pip_package/MNN/tools/mnn_fb/ |
| H A D | LSTM.py | 7 class LSTM(object): class
13 x = LSTM()
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| H A D | OpParameter.py | 30 LSTM = 24 variable in OpParameter
|
| /dports/graphics/tesseract/tesseract-5.0.0/doc/ |
| H A D | combine_lang_model.1.asc | 15 combine_lang_model(1) generates a starter traineddata file that can be used to train an LSTM-based …
57 Information on training tesseract LSTM: <https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-…
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| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/docs/examples/language_model/ |
| H A D | index.rst | 13 :title: Train your own LSTM based Language Model
|
| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/docs/examples/sentiment_analysis/ |
| H A D | index.rst | 7 :title: Fine-tuning LSTM-based Language Model
|
| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/docs/examples/ |
| H A D | index.rst | 77 :title: LSTM-based Language Models
122 :title: Fine-tuning LSTM-based Language Model
|
| /dports/math/mlpack/mlpack-3.4.2/src/mlpack/tests/ |
| H A D | callback_test.cpp | 105 model.Add<LSTM<>>(10, 3, rho); in BOOST_AUTO_TEST_CASE()
131 model.Add<LSTM<>>(10, 3, rho); in BOOST_AUTO_TEST_CASE()
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| /dports/misc/glow/glow-f24d960e3cc80db95ac0bc17b1900dbf60ca044a/docs/ |
| H A D | Lexicon.md | 58 A gating mechanism for neural networks. They are similar to LSTM but exhibit
80 * LSTM
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| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/tests/unittest/ |
| H A D | test_models.py | 594 self._lstm_fwd = gluon.rnn.LSTM(size, bidirectional=False, prefix='l0')
595 self._lstm_bwd = gluon.rnn.LSTM(size, bidirectional=False, prefix='r0')
606 net2 = gluon.rnn.LSTM(10)
607 shared_net2 = gluon.rnn.LSTM(10, params=net2.collect_params())
610 net3.add(gluon.rnn.LSTM(10))
612 shared_net3.add(gluon.rnn.LSTM(10, params=net3[0].collect_params()))
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| /dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/src/layer/arm/ |
| H A D | lstm_arm.h | 22 class LSTM_arm : virtual public LSTM
|