TypeError: softmax() got an unexpected keyword argument 'axis'
今天我裝了tensorflow-gpu 1.4, keras 2.1.6發現運行keras模型的時候出現瞭如下的錯誤：、python Traceback (most recent call last): File "models.py", line 24, in <module> model = NIH() File "models.py", line 19, in NIH
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相關文章
- 1. softmax() got an unexpected keyword argument 'axis'
- 2. TypeError: softmax() got an unexpected keyword argument 'axis' Activation('softmax') 不存在
- 3. deep Learning ERROR(1):TypeError: softmax() got an unexpected keyword argument ‘axis‘
- 4. 關於TypeError: softmax() got an unexpected keyword argument 'axis'的解決方案
- 5. TypeError: __new__() got an unexpected keyword argument 'serialized_options'
- 6. 解決TypeError: makedirs() got an unexpected keyword argument ‘exist_ok‘
- 7. TypeError: parse() got an unexpected keyword argument 'transport_encoding'
- 8. TypeError: render() got an unexpected keyword argument ‘renderer‘
- 9. Python TypeError: resample() got an unexpected keyword argument ‘how‘
- 10. TypeError: _init_subclassed_network() got an unexpected keyword argument 'input'解決