Comments (2)
Rainbow1273
commented on July 22, 2024
I insert tf.reset_default_graph() but has 'AttributeError: module 'tensorflow' has no attribute 'reset_default_graph'
from finetune_alexnet_with_tensorflow.
kratzert
commented on July 22, 2024
Hey there,
this repository is > 3 years old and was developed under an old version of tensorflow. I do not maintain this code anymore but kept it for the sake of archiving it. If you are still interested in running this code, make sure to use an old version of Tensorflow (I think >= 1.2.0 but < 2.0)
from finetune_alexnet_with_tensorflow.
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
- regarding to val.txt format HOT 1
- 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
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