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(pool_size=(2,2)))
model.add(layers.Dropout(0.3))
The next size layers of the model (Listing 4) are the same except for some small changes:
input_shape
does not need to be specified in the first 2D
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.add(layers.BatchNormalization())
model.add(layers.Conv2D(32, (3,3), padding='same', activation='relu'))
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2)))
model.add(layers.Dropout(0.3))
The next
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={"city": "New York"}), PointStruct(id=5, vector=[0.24, 0.18, 0.22, 0.44], payload={"city": "Beijing"}), PointStruct(id=6, vector=[0.35, 0.08, 0.11, 0.44], payload={"city": "Mumbai"}),],
)
The database
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_virtual_environment_file.network_cloud_config,
18 ]
19
20 initialization {
21 user_data_file_id = proxmox_virtual_environment_file.rproxy_cloud_config.id
22 network_data_file_id = proxmox_virtual_environment_file.network_cloud_config[0