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《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

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在research目录下执行model_builder_test.py时直接报错 No module named 'object_detection',请问大佬们有遇到吗?怎么解决呀

output, h1 = lstm_cell.call(inputs, h0) 会报错 正确为 output, h1 = lstm_cell(inputs, h0)

AttributeError: module 'tensorflow.tools.api.generator.api.estimator' has no attribute 'SessionRunHook'

[julyedu_455140@julyedu-gpu slim]$ python train_image_classifier.py \ > --train_dir=satellite/train_dir \ > --dataset_name=satellite \ > --dataset_split_name=train \ > --dataset_dir=satellite/data \ > --model_name=inception_v3 \ > --checkpoint_path=satellite/pretrained/inception_v3.ckpt \ > --checkpoint_exclude_scopes=InceptionV3/Logits,InceptionV3/AuxLogits \ > --max_number_of_steps=100000 \ >...

WARNING:tensorflow:From train_image_classifier.py:398: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version. Instructions for updating: Please switch to tf.train.create_global_step WARNING:tensorflow:From /usr/local/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/losses/losses_impl.py:731: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and...

第五章 有人测试object_detection的时候一直显示AttributeError: module 'tensorflow.python.keras' has no attribute 'Model 吗?我装了keras也没用,我tensorlfow版本1.4是不是版本太低了

第三章,采用rennet_v1_50模型进行训练,已经训练完成,想导出模型对单张图像进行识别,最后的classfy_image_inception_v3.py出现错误,应该怎么修改呀? KeyError: "The name 'resnet_v1/logits/SpatialSqueeze:0' refers to a Tensor which does not exist. The operation, 'resnet_v1/logits/SpatialSqueeze', does not exist in the graph."

代码中直接用“>”判定版本是否符合要求,这种做法不太恰当,tensorflow最新版本1.12.0无法通过验证,可以自行去掉验证版本。