/Python/ValueError: Shapes (None, 1) and (None, 11) are incompatible keras

ValueError: Shapes (None, 1) and (None, 11) are incompatible keras

Shapes (none, 1) and (none, 5) are incompatible

Change Categorical Cross Entropy to Binary Cross Entropy since your output label is binary. Also Change Softmax to Sigmoid since Sigmoid is the proper activation function for binary data

ValueError: Shapes (None, 1) and (None, 11) are incompatible keras

#Sam Ayo answers .. linkedin.com/in/sam-ayo
If you use one-hot-encoded for the label/classes like [0, 0, 0, 0, 0, 0, 1]
you need to use categorical_crossentropy
but if you use sparse label/classes like [1, 2, 3, 4, 5, 6, 7]
you need to use sparse_categorical_crossentropy.

Similar codes

0 vote433 views1 answer
Access kwargs in template django
Python Django
0 vote368 views2 answers
Jupyter notebook morse code francais
Python
0 vote339 views10 answers
Convert python to c++ online
Python
10 votes351 views4 answers
Opencv resize image
Python
0 vote349 views1 answer
Same quotes in a quotes
Python
0 vote407 views1 answer
Aws lambda logging with python logging library
Python
14 votes454 views5 answers
How to create requirements.txt django
Python Django
11 votes357 views6 answers
Dataframe delete duplicate rows with same column value
Python
0 vote331 views1 answer
Emacs shift region left python
Python
1 vote364 views1 answer
Insert row in any position pandas dataframe
Python