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这是我在小象学院课程《深度学习之TensorFlow高级编程》的课程代码
Hello,I found a performance issue in the definition of train_input_fn
,
lessonEight/textClassiferModel.py,
dataset = dataset.map(parser) was called without num_parallel_calls.
I think it will increase the efficiency of your program if you add this.
The same issues also exist in dataset = dataset.map(parser)
Here is the documemtation of tensorflow to support this thing.
Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.
def dropout_flatten_layer(previous_layer, keep_prop):
dropout = tf.nn.dropout(x=previous_layer, keep_prob=keep_prop)
num_features = dropout.get_shape()[1:].num_elements()
layer = tf.reshape(previous_layer, shape=(-1, num_features)) # Flattening the results.
return layer
里面是不是写错了,应该是tf.reshape(dropout , shape=(-1, num_features))
我在参与TensorFlow.NET的开发,你这个资源不错,我打算把它移植到.NET里。
Hello, I found a performance issue in the definition of train
, lessonOne/imgClassifierWeb/execute.py, tf.argmax(softmax_propabilities, axis=1)
will be created repeatedly during program execution, resulting in reduced efficiency. I think it should be created before the loop.
The same issue exists in:
Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.
问题3:
cnnModel:
step函数中,if forward_only:这一部分应该也需要更改或者重写,请核实
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