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hello!it's me again, thanks for the guide u gave me before and I fixed that bug,but I met another problem! #2
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What is the actual problem? |
well, the script train.py can't get the output as you showed in your article and got stuck as you see, it just output the value of Initial loss 0.693146. I was wondering is it wrong after I run split_data.py?because I put the voice.csv into a wrong folder? I put all the scripts and data in one folder. |
What do you mean it gets stuck? Does the process hang and do you need to press Ctrl+C to kill it, or does it exit immediately? |
I need to press ctrl+c to kill it and after I pressing ctrl+c I got the following lines: ^CTraceback (most recent call last): |
hahahah!I 've solved this problem, and got the same output as you! thanks for your patient! keep learning! |
crissallandeMacBook-Pro:~ crissallan$ python3 train.py
Training set size: (2217, 20)
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Initial loss 0.693146
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