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There's supposed to have the SQL scripts link at doc https://docs.identityserver.io/en/release/quickstarts/8_entity_framework.html, >SQL scripts for SqlServer are maintained for the entities in IdentityServer4.EntityFramework. They are located [here](https://github.com/IdentityServer/IdentityServer4.EntityFramework/tree/release/src/Host/Migrations/IdentityServer). That link to SQL...

"For users new to Chainer, please first read Introduction to Chainer." above has broken link in the documentation https://chainercv.readthedocs.io/en/stable/tutorial/detection.html#object-detection-tutorial

ch 8.3 p198 line 2 all_images没有定义

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all_images在书中和官网都找不到，输入图片如何得到？

ch 6.4 p166 按照书中的例子输入的代码，初始cost非常小

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我输入书中的代码跑出来的结果初始cost非常小(0.45~)，而且没有下降。按照官方例子，初始cost应该在183~,并且不断下降。 debug很久也没找到我输入的和书中哪里不同（除去对书中代码错误或者省略的修正和补充），和官方的有哪里不同（除去书中和官方本身的不同）。又一个例子，应该上传书中的完整代码，可以让debug容易很多。 我输入的代码在https://gist.github.com/arisliang/9fd2bdf554a0ccae1ce7a1dfd19b11d4.

ch14.6 page 300 How to run TensorFlow Serving?

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` $ ./tensorflow_model_server --port=9000 --model_base_path=./rnn_model --model_name=antispam ` 找不到server, #https://github.com/pakrchen/text-antispam/issues/1 > bash: ./tensorflow_model_server: No such file or directory

ch3.5 p69 line 30 ReconLayer.pretrain denoise_name not including variable_scope

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假设设置variable_scope (say 'ae')，denoise_name仍然会用本身的名字denoising1，而不是ae/denoising1. 不然有KeyError。如果有不同scope相同denoise_name的情况下，是不是就没法区别呢？ `with tf.variable_scope("ae", reuse=reuse):` ... `recon_layer1.pretrain(sess, x=x, X_train=X_train, X_val=X_val, denoise_name='ae/denoising1', n_epoch=n_epochs, batch_size=batch_size, print_freq=print_interval, save=True, save_name='w1pre_')` logging.info(" denoising layer keep: %f" % self.all_drop[set_keep[denoise_name]]) KeyError: 'ae/denoising1'

建议上传书中所用的代码到github

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遇到几个这种问题了，有的还没法解决。就是按照书中的例子输入了代码，但结果不正确。但由于有的书中代码与官方代码有很大区别，这就导致自己按照书中的例子输入的代码，很难与官方代码进行比较，错误也很难找出。 如果能够把书中的代码上传到github，相信自己按照书中输入的代码就比较容易比较了。

ch 5.3 page 140 line 3 使用AdagradOptimizer会有错误

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> Traceback (most recent call last): File "/home/ly/src/tl-play/ch5_word2vec.py", line 134, in _, loss_val = sess.run([train_op, cost], feed_dict=feed_dict) File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 905, in run run_metadata_ptr) File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1137, in _run...

和官方例子(https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_generate_text.py) 相比, 少了一部分`// sequence_length`。

`tl.files.save_npz(emb_net.all_params, name=model_file_name + '.npz')` 给出错误. 尝试用官方的例子https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_word2vec_basic.py, 貌似也有类似的错误。 > Save model, data and dictionaries!!!!!!!!!! Traceback (most recent call last): File "/home/ly/src/tl-play/ch5_word2vec.py", line 165, in tl.files.save_npz(emb_net.all_params, name=model_file_name + '.npz') File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/tensorlayer/files.py", line...