/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

2 votes271 views1 answer
Reverse order np array
Python
14 votes284 views1 answer
Dataframe row
Python
0 vote260 views1 answer
Python collections Counter sort by key
Python
-1 vote265 views1 answer
Autopy python not installing
Python
1 vote249 views1 answer
Downgrade pip
Python
0 vote270 views1 answer
New print on the same line substitution python 3
Python
2 votes267 views1 answer
Django setup allowed hosts
Python
8 votes238 views1 answer
Sort by index 2d array python
Python
7 votes290 views2 answers
Show image in python
Python
1 vote229 views2 answers
Python list iterator
Python