Comments (1)
It's the same format of course. You want labels for the validation set, since it is used to validate your trained network on other but the training data. You don't need labels for the test set
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Related Issues (20)
- Initializing problem HOT 1
- Loss function can not converge using the AdamOptimizer HOT 2
- How to visualize filters of connet layers. HOT 1
- Is trainable actually set to False in load_initial_weights? HOT 2
- Accuracy By Category HOT 1
- Fine-Tuning Fails With Exception Between Epoch1 and Epoch2 HOT 1
- A question about the structure HOT 2
- A question about the tf.nn.dropout() HOT 3
- A question about the train_layers HOT 2
- Hello, what does this mistake mean? HOT 1
- data pre-processing before finetuning, divide by 255? HOT 2
- How
- How to use my .ckpt file to fill the sameple_submission.csv file in the dataset? HOT 1
- While running finetune.py I am getting following errors.Can anyone help me in correcting them HOT 2
- How to improve accuracy HOT 1
- how to find dataset
- ValueError: The initial value's shape (()) is not compatible with the explicitly supplied `shape` argument ([11, 11, 3, 96]).
- ValueError: Dimension size must be evenly divisible by 2 but is 1
- ValueError: Variable relative_positions_keys/embeddings_table already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope? Originally defined at: HOT 2
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