title: If you're using `model.compile()`, did you forget to provide a `loss`argument?
body: <p>I am building a trainable USE model to do multiclass labeling.
  The input is a description string; the output should be 0, 1, or 2.</p>
  <pre><code>import tensorflow as tf
  import tensorflow_hub as hub
  import prep
  module_url = &quot;https://tfhub.dev/google/universal-sentence-encoder-large/5&quot;
  model = tf.keras.Sequential()
  model.add(tf.keras.layers.Input(shape=[], name='sent1', dtype=tf.string))
  model.add(hub.KerasLayer(module_url, trainable=True))
  model.add(tf.keras.layers.Dense(3, activation='softmax', name='output'))
  
  model.compile(loss='sparse_categorical_crossentropy',
                optimizer='adam', metrics=['accuracy'])
  model.summary()
  data = list(prep.read_jsonl('use/access_complexity/sample.jsonl'))
  descriptions = [d['prompt'] for d in data]
  labels = [int(d['completion']) for d in data]
  model.fit(descriptions, labels, epochs=3)
  </code></pre>
  <p>gives the following error:</p>
  <pre><code>Model: &quot;sequential&quot;
  _________________________________________________________________
   Layer (type)                Output Shape              Param #   
  =================================================================
   keras_layer (KerasLayer)    (None, 512)               147354880 
                                                                   
   output (Dense)              (None, 3)                 1539      
                                                                   
  =================================================================
  Total params: 147,356,419
  Trainable params: 147,356,419
  Non-trainable params: 0
  _________________________________________________________________
  Epoch 1/3
  WARNING:tensorflow:Gradients do not exist for variables ['EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_29:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_29:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_29:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_29:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_29:0'] when minimizing the loss. If you're using `model.compile()`, did you forget to provide a `loss`argument?
  WARNING:tensorflow:Gradients do not exist for variables ['EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_29:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_29:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_29:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_29:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_0:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_1:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_2:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_3:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_4:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_5:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_6:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_7:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_8:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_9:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_10:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_11:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_12:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_13:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_14:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_15:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_16:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_17:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_18:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_19:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_20:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_21:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_22:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_23:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_24:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_25:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_26:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_27:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_28:0', 'EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_29:0'] when minimizing the loss. If you're using `model.compile()`, did you forget to provide a `loss`argument?
  1/1 [==============================] - ETA: 0s - loss: 1.0627 - accuracy: 1/1 [==============================] - 58s 58s/step - loss: 1.0627 - accuracy: 0.6667
  Epoch 2/3
  1/1 [==============================] - ETA: 0s - loss: 0.7200 - accuracy: 1/1 [==============================] - 2s 2s/step - loss: 0.7200 - accuracy: 1.0000
  Epoch 3/3
  1/1 [==============================] - ETA: 0s - loss: 0.4957 - accuracy: 1/1 [==============================] - 2s 2s/step - loss: 0.4957 - accuracy: 1.0000
  </code></pre>