Como treinar e implantar um modelo do TensorFlow na Vertex AI avaliações

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Jeffrey C. · Revisado há about 1 year

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good

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Vu N. · Revisado há about 1 year

Time window is not enough considering the fact that there are 2 * 20 minutes, 1 * 15 minutes waiting times in some cells.

Emre S. · Revisado há about 1 year

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Kanchan M. · Revisado há about 1 year

Kanchan M. · Revisado há about 1 year

Bianca A. · Revisado há about 1 year

Had this error: --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[36], line 37 31 model.compile(loss=tf.keras.losses.MAE, 32 optimizer=optimizer, 33 metrics=[['mae', 'mse', rmse]]) 35 return model ---> 37 model = build_model() Cell In[36], line 20, in build_model() 14 input_layers = { 15 feature.key: tf.keras.layers.Input(name=feature.key, shape=(), dtype=tf.float32) 16 for feature in feature_columns 17 } 19 # Keras Functional API: https://keras.io/guides/functional_api ---> 20 inputs = tf.keras.layers.DenseFeatures(feature_columns, name='inputs')(input_layers) 21 d1 = tf.keras.layers.Dense(256, activation=tf.nn.relu, name='d1')(inputs) 22 d2 = tf.keras.layers.Dropout(0.2, name='d2')(d1) AttributeError: module 'keras._tf_keras.keras.layers' has no attribute 'DenseFeatures'

Chen Y. · Revisado há about 1 year

Cera G. · Revisado há about 1 year