Vertex AI: como treinar e disponibilizar um modelo personalizado avaliações

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Pablo Leonardo L. · Revisado há about 1 year

Interesting lab but cannot complete it, the code is too depraccated. When trying to run the image I get the following warning while training and the training just stops: Epoch 73/1000 8/8 [==============================] - 0s 8ms/step - loss: 6.4324 - mae: 1.7874 - mse: 6.4324 - val_loss: 8.4047 - val_mae: 2.2947 - val_mse: 8.4047 Epoch 74/1000 8/8 [==============================] - 0s 8ms/step - loss: 6.5601 - mae: 1.7943 - mse: 6.5601 - val_loss: 7.9550 - val_mae: 2.1617 - val_mse: 7.9550 WARNING:tensorflow:From /opt/conda/lib/python3.7/site-packages/tensorflow/python/training/tracking/tracking.py:111: Model.state_updates (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version. Instructions for updating: This property should not be used in TensorFlow 2.0, as updates are applied automatically. 2023-09-28 15:24:20.958290: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. WARNING:tensorflow:From /opt/conda/lib/python3.7/site-packages/tensorflow/python/training/tracking/tracking.py:111: Layer.updates (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version. Instructions for updating: This property should not be used in TensorFlow 2.0, as updates are applied automatically.

Michael S. · Revisado há about 1 year

(base) jupyter@instance-20230928-155350:~/mpg$ docker build ./ -t $IMAGE_URI flag needs an argument: 't' in -t See 'docker build --help'. (base) jupyter@instance-20230928-155350:~/mpg$ docker build ./ 't' $IMAGE_URI "docker build" requires exactly 1 argument. See 'docker build --help'.

André D. · Revisado há about 1 year