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Describe the bug
hello i have problem with evaluating the model (page 303 2nd edition)
when i do history = model.fit(X_train, y_train, epochs=30, validation_data=(X_valid, y_valid))
i got:
`Epoch 1/30
Output exceeds the size limit. Open the full output data in a text editor
ValueError Traceback (most recent call last)
Cell In[126], line 1
----> 1 history = model.fit(X_train, y_train, epochs=30,
2 validation_data=(X_valid, y_valid))
File c:\Users\rain\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\utils\traceback_utils.py:67, in filter_traceback..error_handler(*args, **kwargs)
65 except Exception as e: # pylint: disable=broad-except
66 filtered_tb = _process_traceback_frames(e.traceback)
---> 67 raise e.with_traceback(filtered_tb) from None
68 finally:
69 del filtered_tb
File c:\Users\rain\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow\python\framework\func_graph.py:1147, in func_graph_from_py_func..autograph_handler(*args, **kwargs)
1145 except Exception as e: # pylint:disable=broad-except
1146 if hasattr(e, "ag_error_metadata"):
-> 1147 raise e.ag_error_metadata.to_exception(e)
1148 else:
1149 raise
ValueError: in user code:
File "c:\Users\rain\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\engine\training.py", line 1021, in train_function *
return step_function(self, iterator)
File "c:\Users\rain\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\engine\training.py", line 1010, in step_function **
...
File "c:\Users\rain\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\backend.py", line 5083, in categorical_crossentropy
target.shape.assert_is_compatible_with(output.shape)
ValueError: Shapes (None, 1) and (None, 10) are incompatible`
To Reproduce
Screenshots
Versions (please complete the following information):
OS: [win10]
Python: [Python 3.10.10]
TensorFlow: [2.8.1]
The text was updated successfully, but these errors were encountered:
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hello
Describe the bug
hello i have problem with evaluating the model (page 303 2nd edition)
when i do
history = model.fit(X_train, y_train, epochs=30, validation_data=(X_valid, y_valid))
i got:
`Epoch 1/30
Output exceeds the size limit. Open the full output data in a text editor
ValueError Traceback (most recent call last)
Cell In[126], line 1
----> 1 history = model.fit(X_train, y_train, epochs=30,
2 validation_data=(X_valid, y_valid))
File c:\Users\rain\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\utils\traceback_utils.py:67, in filter_traceback..error_handler(*args, **kwargs)
65 except Exception as e: # pylint: disable=broad-except
66 filtered_tb = _process_traceback_frames(e.traceback)
---> 67 raise e.with_traceback(filtered_tb) from None
68 finally:
69 del filtered_tb
File c:\Users\rain\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow\python\framework\func_graph.py:1147, in func_graph_from_py_func..autograph_handler(*args, **kwargs)
1145 except Exception as e: # pylint:disable=broad-except
1146 if hasattr(e, "ag_error_metadata"):
-> 1147 raise e.ag_error_metadata.to_exception(e)
1148 else:
1149 raise
ValueError: in user code:
...
File "c:\Users\rain\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\backend.py", line 5083, in categorical_crossentropy
target.shape.assert_is_compatible_with(output.shape)
To Reproduce
Screenshots
Versions (please complete the following information):
The text was updated successfully, but these errors were encountered: