Method get_weights

tensorflow/tensorflow/python/keras/engine/training.py:162–173 · view source on GitHub ↗

Retrieves the weights of the model. Returns: A flat list of Numpy arrays.

(self)

Source from the content-addressed store, hash-verified

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test_save_load_layerMethod · 0.95

test_learning_phase_valueMethod · 0.95

testRNNCellSerializationMethod · 0.95

test_weight_based_state_transferMethod · 0.95

test_weight_based_state_transfer_with_further_tuningMethod · 0.95

test_layer_sharing_at_heterogenous_depthMethod · 0.95

test_layer_sharing_at_heterogenous_depth_with_concatMethod · 0.95

test_add_loss_outside_call_only_lossMethod · 0.95

test_add_loss_outside_call_multiple_lossesMethod · 0.95

test_weight_loadingMethod · 0.95

test_lstm_v2_feature_parity_with_canonical_lstmMethod · 0.95

test_lstm_output_on_multiple_kernelMethod · 0.95

scopeMethod · 0.45

test_save_load_layerMethod · 0.76

test_learning_phase_valueMethod · 0.76

testRNNCellSerializationMethod · 0.76

test_weight_based_state_transferMethod · 0.76

test_weight_based_state_transfer_with_further_tuningMethod · 0.76

test_layer_sharing_at_heterogenous_depthMethod · 0.76

test_layer_sharing_at_heterogenous_depth_with_concatMethod · 0.76

test_add_loss_outside_call_only_lossMethod · 0.76

test_add_loss_outside_call_multiple_lossesMethod · 0.76

test_weight_loadingMethod · 0.76

test_lstm_v2_feature_parity_with_canonical_lstmMethod · 0.76

test_lstm_output_on_multiple_kernelMethod · 0.76