关于“Text classification using reusable embeddings”的评价

Lab's code is outdated

Łukasz B. · 已于 4 months前审核

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User does not have bigquery.jobs.create permission

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--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[38], line 1 ----> 1 nnlm_model = build_model(nnlm_module, 'nnlm') 2 nnlm_history = train_and_evaluate(data, val_data, nnlm_model) Cell In[35], line 2, in build_model(hub_module, name) 1 def build_model(hub_module, name): ----> 2 model = Sequential([ 3 hub_module, # TODO 2 4 Dense(16, activation='relu'), 5 Dense(N_CLASSES, activation='softmax') 6 ], name=name) 8 model.compile( 9 optimizer='adam', 10 loss='categorical_crossentropy', 11 metrics=['accuracy'] 12 ) 13 return model File /opt/conda/lib/python3.10/site-packages/keras/src/models/sequential.py:75, in Sequential.__init__(self, layers, trainable, name) 73 if layers: 74 for layer in layers: ---> 75 self.add(layer, rebuild=False) 76 self._maybe_rebuild() File /opt/conda/lib/python3.10/site-packages/keras/src/models/sequential.py:97, in Sequential.add(self, layer, rebuild) 95 layer = origin_layer 96 if not isinstance(layer, Layer): ---> 97 raise ValueError( 98 "Only instances of `keras.Layer` can be " 99 f"added to a Sequential model. Received: {layer} " 100 f"(of type {type(layer)})" 101 ) 102 if not self._is_layer_name_unique(layer): 103 raise ValueError( 104 "All layers added to a Sequential model " 105 f"should have unique names. Name '{layer.name}' is already " 106 "the name of a layer in this model. Update the `name` argument " 107 "to pass a unique name." 108 ) ValueError: Only instances of `keras.Layer` can be added to a Sequential model. Received: <tensorflow_hub.keras_layer.KerasLayer object at 0x7fbbb8792290> (of type <class 'tensorflow_hub.keras_layer.KerasLayer'>)

vasanth r. · 已于 4 months前审核

Sonia M. · 已于 4 months前审核

Ahmed E. · 已于 4 months前审核

tensorflow installation was an issue.

Dilara A. · 已于 4 months前审核