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author | Raghuram Subramani <raghus2247@gmail.com> | 2023-01-23 14:14:07 +0530 |
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committer | Raghuram Subramani <raghus2247@gmail.com> | 2023-01-23 14:14:07 +0530 |
commit | 43cd81bd64880af6492b94d644538df32bcf4e88 (patch) | |
tree | c07621299fcf8858ecea05b106c89ec575f41c7e /jsmodel | |
parent | 8c1bd6cafded83ab2729d851dcbe62df663e9667 (diff) |
upload files
Diffstat (limited to 'jsmodel')
-rw-r--r-- | jsmodel/group1-shard1of4.bin | bin | 0 -> 4194304 bytes | |||
-rw-r--r-- | jsmodel/group1-shard2of4.bin | bin | 0 -> 4194304 bytes | |||
-rw-r--r-- | jsmodel/group1-shard3of4.bin | bin | 0 -> 4194304 bytes | |||
-rw-r--r-- | jsmodel/group1-shard4of4.bin | bin | 0 -> 3491076 bytes | |||
-rw-r--r-- | jsmodel/model.json | 1 |
5 files changed, 1 insertions, 0 deletions
diff --git a/jsmodel/group1-shard1of4.bin b/jsmodel/group1-shard1of4.bin Binary files differnew file mode 100644 index 0000000..50f742e --- /dev/null +++ b/jsmodel/group1-shard1of4.bin diff --git a/jsmodel/group1-shard2of4.bin b/jsmodel/group1-shard2of4.bin Binary files differnew file mode 100644 index 0000000..f60c458 --- /dev/null +++ b/jsmodel/group1-shard2of4.bin diff --git a/jsmodel/group1-shard3of4.bin b/jsmodel/group1-shard3of4.bin Binary files differnew file mode 100644 index 0000000..e682033 --- /dev/null +++ b/jsmodel/group1-shard3of4.bin diff --git a/jsmodel/group1-shard4of4.bin b/jsmodel/group1-shard4of4.bin Binary files differnew file mode 100644 index 0000000..200da57 --- /dev/null +++ b/jsmodel/group1-shard4of4.bin diff --git a/jsmodel/model.json b/jsmodel/model.json new file mode 100644 index 0000000..0de300d --- /dev/null +++ b/jsmodel/model.json @@ -0,0 +1 @@ +{"format": "layers-model", "generatedBy": "keras v2.4.0", "convertedBy": "TensorFlow.js Converter v4.2.0", "modelTopology": {"keras_version": "2.4.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential_1", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [1, null], "dtype": "float32", "sparse": false, "ragged": false, "name": "embedding_1_input"}}, {"class_name": "Embedding", "config": {"name": "embedding_1", "trainable": true, "batch_input_shape": [1, null], "dtype": "float32", "input_dim": 65, "output_dim": 256, "embeddings_initializer": {"class_name": "RandomUniform", "config": {"minval": -0.05, "maxval": 0.05, "seed": null}}, "embeddings_regularizer": null, "activity_regularizer": null, "embeddings_constraint": null, "mask_zero": false, "input_length": null}}, {"class_name": "GRU", "config": {"name": "gru_1", "trainable": true, "dtype": "float32", "return_sequences": true, "return_state": false, "go_backwards": false, "stateful": true, "unroll": false, "time_major": false, "units": 1024, "activation": "tanh", "recurrent_activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "recurrent_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "recurrent_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "recurrent_constraint": null, "bias_constraint": null, "dropout": 0.0, "recurrent_dropout": 0.0, "implementation": 2, "reset_after": false}}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 65, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}]}}}, "weightsManifest": [{"paths": ["group1-shard1of4.bin", "group1-shard2of4.bin", "group1-shard3of4.bin", "group1-shard4of4.bin"], "weights": [{"name": "dense_1/kernel", "shape": [1024, 65], "dtype": "float32"}, {"name": "dense_1/bias", "shape": [65], "dtype": "float32"}, {"name": "embedding_1/embeddings", "shape": [65, 256], "dtype": "float32"}, {"name": "gru_1/gru_cell_1/kernel", "shape": [256, 3072], "dtype": "float32"}, {"name": "gru_1/gru_cell_1/recurrent_kernel", "shape": [1024, 3072], "dtype": "float32"}, {"name": "gru_1/gru_cell_1/bias", "shape": [3072], "dtype": "float32"}]}]}
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