tensorflow_models_learning
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PanJinquan
tensorflow GoogleNet inception V1 V2 V3 V4
tensorflow.python.framework.errors_impl.NotFoundError: Failed to create a NewWriteableFile: dataset/record/train224.tfrecords : ϵͳ\udcd5Ҳ\udcbb\udcb5\udcbdָ\udcb6\udca8\udcb5\udcc4·\udcbe\udcb6\udca1\udca3 ; No such process
用自己训练好的模型测试，在测试集上单张图片测试结果相同。 拿之前的验证集测试，如果batch size设为1 预测结果同测试集一样，都是以同样的概率预测为同一个类别，但batch size不为1 比如调整为64 模型就预测正常，这是为什么呢
修改inception_v3_train_val.py 增加 import tensorflow.compat.v1 as tf tf.disable_v2_behavior() 试着在tf2.0下运行，提示错误 import slim.nets.inception_v3 as inception_v3 from nets import inception_utils AttributeError: module 'tensorflow' has no attribute 'contrib' contrib已经在2.0中移除，这三个库怎么导入？ 多谢！
NotFoundError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure...
2019-11-27 22:04:34.371258: Step [0] train Loss : 0.000000, training accuracy : 1 2019-11-27 22:04:57.633260: Step [0] val Loss : 0.000000, val accuracy : 1 ------save:models\best_models_0_1.0000.ckpt 2019-11-27 22:05:36.576254: Step [10] train...
Traceback (most recent call last): File "/home/z/tensorflow_models_learning-master/create_tf_record.py", line 303, in train_nums=get_example_nums(train_record_output) File "/home/z/tensorflow_models_learning-master/create_tf_record.py", line 39, in get_example_nums for record in tf.python_io.tf_record_iterator(tf_records_filenames): File "/home/z/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/lib/io/tf_record.py", line 174, in tf_record_iterator compat.as_bytes(path), 0, compat.as_bytes(compression_type),...
